id	sid	tid	token	lemma	pos
ajst-30543	1	1	academic	academic	ADJ
ajst-30543	1	2	journal	journal	NOUN
ajst-30543	1	3	of	of	ADP
ajst-30543	1	4	science	science	NOUN
ajst-30543	1	5	and	and	CCONJ
ajst-30543	1	6	technology	technology	NOUN
ajst-30543	1	7	issn	issn	NOUN
ajst-30543	1	8	:	:	PUNCT
ajst-30543	1	9	2771	2771	NUM
ajst-30543	1	10	-	-	SYM
ajst-30543	1	11	3032	3032	NUM
ajst-30543	1	12	|	|	NOUN
ajst-30543	1	13	vol	vol	NOUN
ajst-30543	1	14	.	.	PROPN
ajst-30543	1	15	15	15	NUM
ajst-30543	1	16	,	,	PUNCT
ajst-30543	1	17	no	no	INTJ
ajst-30543	1	18	.	.	NOUN
ajst-30543	1	19	1	1	NUM
ajst-30543	1	20	,	,	PUNCT
ajst-30543	1	21	2025	2025	NUM
ajst-30543	1	22	167	167	NUM
ajst-30543	1	23	research	research	NOUN
ajst-30543	1	24	on	on	ADP
ajst-30543	1	25	electric	electric	ADJ
ajst-30543	1	26	vehicle	vehicle	NOUN
ajst-30543	1	27	parameter	parameter	NOUN
ajst-30543	1	28	identification	identification	NOUN
ajst-30543	1	29	method	method	NOUN
ajst-30543	1	30	based	base	VERB
ajst-30543	1	31	on	on	ADP
ajst-30543	1	32	battery	battery	NOUN
ajst-30543	1	33	and	and	CCONJ
ajst-30543	1	34	ultracapacitor	ultracapacitor	PROPN
ajst-30543	1	35	hailan	hailan	PROPN
ajst-30543	1	36	mou	mou	PROPN
ajst-30543	1	37	*	*	PROPN
ajst-30543	1	38	,	,	PUNCT
ajst-30543	1	39	chun	chun	PROPN
ajst-30543	1	40	wang	wang	PROPN
ajst-30543	1	41	school	school	PROPN
ajst-30543	1	42	of	of	ADP
ajst-30543	1	43	mechanical	mechanical	ADJ
ajst-30543	1	44	engineering	engineering	NOUN
ajst-30543	1	45	,	,	PUNCT
ajst-30543	1	46	sichuan	sichuan	PROPN
ajst-30543	1	47	university	university	PROPN
ajst-30543	1	48	of	of	ADP
ajst-30543	1	49	science	science	PROPN
ajst-30543	1	50	&	&	CCONJ
ajst-30543	1	51	engineering	engineering	PROPN
ajst-30543	1	52	,	,	PUNCT
ajst-30543	1	53	zigong	zigong	PROPN
ajst-30543	1	54	,	,	PUNCT
ajst-30543	1	55	china	china	PROPN
ajst-30543	1	56	*	*	PUNCT
ajst-30543	1	57	corresponding	correspond	VERB
ajst-30543	1	58	author	author	NOUN
ajst-30543	1	59	:	:	PUNCT
ajst-30543	1	60	hailan	hailan	NOUN
ajst-30543	1	61	mou	mou	PROPN
ajst-30543	1	62	abstract	abstract	NOUN
ajst-30543	1	63	:	:	PUNCT
ajst-30543	1	64	the	the	DET
ajst-30543	1	65	accuracy	accuracy	NOUN
ajst-30543	1	66	of	of	ADP
ajst-30543	1	67	the	the	DET
ajst-30543	1	68	model	model	NOUN
ajst-30543	1	69	relies	rely	VERB
ajst-30543	1	70	heavily	heavily	ADV
ajst-30543	1	71	on	on	ADP
ajst-30543	1	72	parameter	parameter	NOUN
ajst-30543	1	73	identification	identification	NOUN
ajst-30543	1	74	.	.	PUNCT
ajst-30543	2	1	in	in	ADP
ajst-30543	2	2	order	order	NOUN
ajst-30543	2	3	to	to	PART
ajst-30543	2	4	accurately	accurately	ADV
ajst-30543	2	5	identify	identify	VERB
ajst-30543	2	6	the	the	DET
ajst-30543	2	7	model	model	NOUN
ajst-30543	2	8	parameters	parameter	NOUN
ajst-30543	2	9	of	of	ADP
ajst-30543	2	10	batteries	battery	NOUN
ajst-30543	2	11	and	and	CCONJ
ajst-30543	2	12	ultracapacitors	ultracapacitor	NOUN
ajst-30543	2	13	,	,	PUNCT
ajst-30543	2	14	three	three	NUM
ajst-30543	2	15	representative	representative	ADJ
ajst-30543	2	16	intelligent	intelligent	ADJ
ajst-30543	2	17	optimization	optimization	NOUN
ajst-30543	2	18	algorithms	algorithm	NOUN
ajst-30543	2	19	:	:	PUNCT
ajst-30543	2	20	grey	grey	PROPN
ajst-30543	2	21	wolf	wolf	PROPN
ajst-30543	2	22	optimization	optimization	NOUN
ajst-30543	2	23	algorithm	algorithm	NOUN
ajst-30543	2	24	(	(	PUNCT
ajst-30543	2	25	gwo	gwo	PROPN
ajst-30543	2	26	)	)	PUNCT
ajst-30543	2	27	,	,	PUNCT
ajst-30543	2	28	particle	particle	NOUN
ajst-30543	2	29	swarm	swarm	NOUN
ajst-30543	2	30	optimization	optimization	NOUN
ajst-30543	2	31	algorithm	algorithm	NOUN
ajst-30543	2	32	(	(	PUNCT
ajst-30543	2	33	pso	pso	NOUN
ajst-30543	2	34	)	)	PUNCT
ajst-30543	2	35	,	,	PUNCT
ajst-30543	2	36	and	and	CCONJ
ajst-30543	2	37	genetic	genetic	ADJ
ajst-30543	2	38	algorithm	algorithm	NOUN
ajst-30543	2	39	(	(	PUNCT
ajst-30543	2	40	ga	ga	NOUN
ajst-30543	2	41	)	)	PUNCT
ajst-30543	2	42	are	be	AUX
ajst-30543	2	43	selected	select	VERB
ajst-30543	2	44	in	in	ADP
ajst-30543	2	45	this	this	DET
ajst-30543	2	46	study	study	NOUN
ajst-30543	2	47	to	to	PART
ajst-30543	2	48	identify	identify	VERB
ajst-30543	2	49	the	the	DET
ajst-30543	2	50	parameters	parameter	NOUN
ajst-30543	2	51	of	of	ADP
ajst-30543	2	52	battery	battery	NOUN
ajst-30543	2	53	and	and	CCONJ
ajst-30543	2	54	ultracapacitor	ultracapacitor	NOUN
ajst-30543	2	55	models	model	NOUN
ajst-30543	2	56	,	,	PUNCT
ajst-30543	2	57	respectively	respectively	ADV
ajst-30543	2	58	.	.	PUNCT
ajst-30543	3	1	the	the	DET
ajst-30543	3	2	results	result	NOUN
ajst-30543	3	3	of	of	ADP
ajst-30543	3	4	the	the	DET
ajst-30543	3	5	study	study	NOUN
ajst-30543	3	6	show	show	VERB
ajst-30543	3	7	that	that	SCONJ
ajst-30543	3	8	the	the	DET
ajst-30543	3	9	grey	grey	ADJ
ajst-30543	3	10	wolf	wolf	PROPN
ajst-30543	3	11	optimization	optimization	NOUN
ajst-30543	3	12	algorithm	algorithm	NOUN
ajst-30543	3	13	demonstrates	demonstrate	VERB
ajst-30543	3	14	significant	significant	ADJ
ajst-30543	3	15	advantages	advantage	NOUN
ajst-30543	3	16	in	in	ADP
ajst-30543	3	17	improving	improve	VERB
ajst-30543	3	18	the	the	DET
ajst-30543	3	19	overall	overall	ADJ
ajst-30543	3	20	prediction	prediction	NOUN
ajst-30543	3	21	accuracy	accuracy	NOUN
ajst-30543	3	22	of	of	ADP
ajst-30543	3	23	the	the	DET
ajst-30543	3	24	battery	battery	NOUN
ajst-30543	3	25	and	and	CCONJ
ajst-30543	3	26	supercapacitor	supercapacitor	NOUN
ajst-30543	3	27	models	model	NOUN
ajst-30543	3	28	.	.	PUNCT
ajst-30543	4	1	specifically	specifically	ADV
ajst-30543	4	2	,	,	PUNCT
ajst-30543	4	3	the	the	DET
ajst-30543	4	4	grey	grey	ADJ
ajst-30543	4	5	wolf	wolf	PROPN
ajst-30543	4	6	optimization	optimization	NOUN
ajst-30543	4	7	algorithm	algorithm	NOUN
ajst-30543	4	8	reduces	reduce	VERB
ajst-30543	4	9	the	the	DET
ajst-30543	4	10	root	root	NOUN
ajst-30543	4	11	mean	mean	NOUN
ajst-30543	4	12	square	square	ADJ
ajst-30543	4	13	error	error	NOUN
ajst-30543	4	14	(	(	PUNCT
ajst-30543	4	15	rms	rm	NOUN
ajst-30543	4	16	)	)	PUNCT
ajst-30543	4	17	,	,	PUNCT
ajst-30543	4	18	an	an	DET
ajst-30543	4	19	evaluation	evaluation	NOUN
ajst-30543	4	20	metric	metric	NOUN
ajst-30543	4	21	,	,	PUNCT
ajst-30543	4	22	by	by	ADP
ajst-30543	4	23	at	at	ADV
ajst-30543	4	24	least	least	ADV
ajst-30543	4	25	7.4	7.4	NUM
ajst-30543	4	26	%	%	NOUN
ajst-30543	4	27	and	and	CCONJ
ajst-30543	4	28	13.8	13.8	NUM
ajst-30543	4	29	%	%	NOUN
ajst-30543	4	30	compared	compare	VERB
ajst-30543	4	31	to	to	ADP
ajst-30543	4	32	the	the	DET
ajst-30543	4	33	particle	particle	NOUN
ajst-30543	4	34	swarm	swarm	NOUN
ajst-30543	4	35	optimization	optimization	NOUN
ajst-30543	4	36	algorithm	algorithm	NOUN
ajst-30543	4	37	and	and	CCONJ
ajst-30543	4	38	the	the	DET
ajst-30543	4	39	genetic	genetic	ADJ
ajst-30543	4	40	algorithm	algorithm	NOUN
ajst-30543	4	41	,	,	PUNCT
ajst-30543	4	42	respectively	respectively	ADV
ajst-30543	4	43	.	.	PUNCT
ajst-30543	5	1	therefore	therefore	ADV
ajst-30543	5	2	,	,	PUNCT
ajst-30543	5	3	the	the	DET
ajst-30543	5	4	parameter	parameter	NOUN
ajst-30543	5	5	identification	identification	NOUN
ajst-30543	5	6	of	of	ADP
ajst-30543	5	7	battery	battery	NOUN
ajst-30543	5	8	and	and	CCONJ
ajst-30543	5	9	supercapacitor	supercapacitor	NOUN
ajst-30543	5	10	models	model	NOUN
ajst-30543	5	11	using	use	VERB
ajst-30543	5	12	the	the	DET
ajst-30543	5	13	grey	grey	ADJ
ajst-30543	5	14	wolf	wolf	PROPN
ajst-30543	5	15	optimization	optimization	NOUN
ajst-30543	5	16	algorithm	algorithm	NOUN
ajst-30543	5	17	not	not	PART
ajst-30543	5	18	only	only	ADV
ajst-30543	5	19	has	have	VERB
ajst-30543	5	20	better	well	ADJ
ajst-30543	5	21	accuracy	accuracy	NOUN
ajst-30543	5	22	and	and	CCONJ
ajst-30543	5	23	reliability	reliability	NOUN
ajst-30543	5	24	but	but	CCONJ
ajst-30543	5	25	also	also	ADV
ajst-30543	5	26	provides	provide	VERB
ajst-30543	5	27	strong	strong	ADJ
ajst-30543	5	28	support	support	NOUN
ajst-30543	5	29	for	for	ADP
ajst-30543	5	30	the	the	DET
ajst-30543	5	31	subsequent	subsequent	ADJ
ajst-30543	5	32	research	research	NOUN
ajst-30543	5	33	of	of	ADP
ajst-30543	5	34	electric	electric	ADJ
ajst-30543	5	35	vehicle	vehicle	NOUN
ajst-30543	5	36	energy	energy	NOUN
ajst-30543	5	37	storage	storage	NOUN
ajst-30543	5	38	systems	system	NOUN
ajst-30543	5	39	.	.	PUNCT
ajst-30543	6	1	keywords	keyword	NOUN
ajst-30543	6	2	:	:	PUNCT
ajst-30543	6	3	electric	electric	ADJ
ajst-30543	6	4	vehicle	vehicle	NOUN
ajst-30543	6	5	;	;	PUNCT
ajst-30543	6	6	battery	battery	NOUN
ajst-30543	6	7	;	;	PUNCT
ajst-30543	6	8	ultracapacitor	ultracapacitor	NOUN
ajst-30543	6	9	;	;	PUNCT
ajst-30543	6	10	parameter	parameter	NOUN
ajst-30543	6	11	identification	identification	NOUN
ajst-30543	6	12	;	;	PUNCT
ajst-30543	6	13	intelligent	intelligent	ADJ
ajst-30543	6	14	optimization	optimization	NOUN
ajst-30543	6	15	algorithm	algorithm	NOUN
ajst-30543	6	16	.	.	PUNCT
ajst-30543	7	1	1	1	X
ajst-30543	7	2	.	.	X
ajst-30543	7	3	introduction	introduction	NOUN
ajst-30543	7	4	in	in	ADP
ajst-30543	7	5	recent	recent	ADJ
ajst-30543	7	6	years	year	NOUN
ajst-30543	7	7	,	,	PUNCT
ajst-30543	7	8	with	with	ADP
ajst-30543	7	9	the	the	DET
ajst-30543	7	10	rapid	rapid	ADJ
ajst-30543	7	11	development	development	NOUN
ajst-30543	7	12	of	of	ADP
ajst-30543	7	13	electrified	electrified	ADJ
ajst-30543	7	14	transport	transport	NOUN
ajst-30543	7	15	around	around	ADP
ajst-30543	7	16	the	the	DET
ajst-30543	7	17	world	world	NOUN
ajst-30543	7	18	,	,	PUNCT
ajst-30543	7	19	there	there	PRON
ajst-30543	7	20	has	have	AUX
ajst-30543	7	21	been	be	AUX
ajst-30543	7	22	a	a	DET
ajst-30543	7	23	growing	grow	VERB
ajst-30543	7	24	concern	concern	NOUN
ajst-30543	7	25	about	about	ADP
ajst-30543	7	26	air	air	NOUN
ajst-30543	7	27	pollution	pollution	NOUN
ajst-30543	7	28	and	and	CCONJ
ajst-30543	7	29	energy	energy	NOUN
ajst-30543	7	30	crisis	crisis	NOUN
ajst-30543	7	31	issues[1	issues[1	X
ajst-30543	7	32	]	]	PUNCT
ajst-30543	7	33	.	.	PUNCT
ajst-30543	8	1	to	to	PART
ajst-30543	8	2	proactively	proactively	ADV
ajst-30543	8	3	address	address	VERB
ajst-30543	8	4	the	the	DET
ajst-30543	8	5	challenge	challenge	NOUN
ajst-30543	8	6	of	of	ADP
ajst-30543	8	7	climate	climate	NOUN
ajst-30543	8	8	change	change	NOUN
ajst-30543	8	9	,	,	PUNCT
ajst-30543	8	10	china	china	PROPN
ajst-30543	8	11	has	have	AUX
ajst-30543	8	12	proposed	propose	VERB
ajst-30543	8	13	a	a	DET
ajst-30543	8	14	‘	'	PUNCT
ajst-30543	8	15	dual	dual	ADJ
ajst-30543	8	16	-	-	PUNCT
ajst-30543	8	17	carbon	carbon	NOUN
ajst-30543	8	18	’	'	PUNCT
ajst-30543	8	19	strategy	strategy	NOUN
ajst-30543	8	20	to	to	PART
ajst-30543	8	21	promote	promote	VERB
ajst-30543	8	22	the	the	DET
ajst-30543	8	23	widespread	widespread	ADJ
ajst-30543	8	24	use	use	NOUN
ajst-30543	8	25	of	of	ADP
ajst-30543	8	26	clean	clean	ADJ
ajst-30543	8	27	energy	energy	NOUN
ajst-30543	8	28	.	.	PUNCT
ajst-30543	9	1	against	against	ADP
ajst-30543	9	2	this	this	DET
ajst-30543	9	3	background	background	NOUN
ajst-30543	9	4	,	,	PUNCT
ajst-30543	9	5	new	new	ADJ
ajst-30543	9	6	energy	energy	NOUN
ajst-30543	9	7	vehicles	vehicle	NOUN
ajst-30543	9	8	have	have	AUX
ajst-30543	9	9	gradually	gradually	ADV
ajst-30543	9	10	become	become	VERB
ajst-30543	9	11	a	a	DET
ajst-30543	9	12	substitute	substitute	NOUN
ajst-30543	9	13	for	for	ADP
ajst-30543	9	14	traditional	traditional	ADJ
ajst-30543	9	15	fuel	fuel	NOUN
ajst-30543	9	16	vehicles[2,3	vehicles[2,3	PROPN
ajst-30543	9	17	]	]	PUNCT
ajst-30543	9	18	.	.	PUNCT
ajst-30543	10	1	among	among	ADP
ajst-30543	10	2	them	they	PRON
ajst-30543	10	3	,	,	PUNCT
ajst-30543	10	4	lithium	lithium	NOUN
ajst-30543	10	5	-	-	PUNCT
ajst-30543	10	6	ion	ion	NOUN
ajst-30543	10	7	batteries	battery	NOUN
ajst-30543	10	8	have	have	AUX
ajst-30543	10	9	been	be	AUX
ajst-30543	10	10	widely	widely	ADV
ajst-30543	10	11	used	use	VERB
ajst-30543	10	12	in	in	ADP
ajst-30543	10	13	the	the	DET
ajst-30543	10	14	field	field	NOUN
ajst-30543	10	15	of	of	ADP
ajst-30543	10	16	new	new	ADJ
ajst-30543	10	17	energy	energy	NOUN
ajst-30543	10	18	vehicles	vehicle	NOUN
ajst-30543	10	19	due	due	ADP
ajst-30543	10	20	to	to	ADP
ajst-30543	10	21	their	their	PRON
ajst-30543	10	22	advantages	advantage	NOUN
ajst-30543	10	23	of	of	ADP
ajst-30543	10	24	high	high	ADJ
ajst-30543	10	25	safety	safety	NOUN
ajst-30543	10	26	and	and	CCONJ
ajst-30543	10	27	low	low	ADJ
ajst-30543	10	28	cost[4	cost[4	PROPN
ajst-30543	10	29	]	]	PUNCT
ajst-30543	10	30	.	.	PUNCT
ajst-30543	11	1	however	however	ADV
ajst-30543	11	2	,	,	PUNCT
ajst-30543	11	3	as	as	ADP
ajst-30543	11	4	a	a	DET
ajst-30543	11	5	single	single	ADJ
ajst-30543	11	6	power	power	NOUN
ajst-30543	11	7	source	source	NOUN
ajst-30543	11	8	,	,	PUNCT
ajst-30543	11	9	lithium	lithium	NOUN
ajst-30543	11	10	-	-	PUNCT
ajst-30543	11	11	ion	ion	NOUN
ajst-30543	11	12	batteries	battery	NOUN
ajst-30543	11	13	have	have	VERB
ajst-30543	11	14	shortcomings	shortcoming	NOUN
ajst-30543	11	15	such	such	ADJ
ajst-30543	11	16	as	as	ADP
ajst-30543	11	17	limited	limited	ADJ
ajst-30543	11	18	service	service	NOUN
ajst-30543	11	19	life	life	NOUN
ajst-30543	11	20	and	and	CCONJ
ajst-30543	11	21	poor	poor	ADJ
ajst-30543	11	22	low	low	ADJ
ajst-30543	11	23	-	-	PUNCT
ajst-30543	11	24	temperature	temperature	NOUN
ajst-30543	11	25	performance[5,6	performance[5,6	NOUN
ajst-30543	11	26	]	]	PUNCT
ajst-30543	11	27	.	.	PUNCT
ajst-30543	12	1	in	in	ADP
ajst-30543	12	2	contrast	contrast	NOUN
ajst-30543	12	3	,	,	PUNCT
ajst-30543	12	4	ultracapacitors	ultracapacitor	NOUN
ajst-30543	12	5	exhibit	exhibit	VERB
ajst-30543	12	6	superior	superior	ADJ
ajst-30543	12	7	charge	charge	NOUN
ajst-30543	12	8	/	/	SYM
ajst-30543	12	9	discharge	discharge	NOUN
ajst-30543	12	10	rates	rate	NOUN
ajst-30543	12	11	,	,	PUNCT
ajst-30543	12	12	longer	long	ADJ
ajst-30543	12	13	service	service	NOUN
ajst-30543	12	14	life	life	NOUN
ajst-30543	12	15	,	,	PUNCT
ajst-30543	12	16	and	and	CCONJ
ajst-30543	12	17	higher	high	ADJ
ajst-30543	12	18	cycling	cycling	NOUN
ajst-30543	12	19	stability[7,8	stability[7,8	PROPN
ajst-30543	12	20	]	]	PUNCT
ajst-30543	12	21	.	.	PUNCT
ajst-30543	13	1	given	give	VERB
ajst-30543	13	2	the	the	DET
ajst-30543	13	3	respective	respective	ADJ
ajst-30543	13	4	characteristics	characteristic	NOUN
ajst-30543	13	5	and	and	CCONJ
ajst-30543	13	6	limitations	limitation	NOUN
ajst-30543	13	7	of	of	ADP
ajst-30543	13	8	lithium	lithium	NOUN
ajst-30543	13	9	-	-	PUNCT
ajst-30543	13	10	ion	ion	NOUN
ajst-30543	13	11	batteries	battery	NOUN
ajst-30543	13	12	and	and	CCONJ
ajst-30543	13	13	ultracapacitors	ultracapacitor	NOUN
ajst-30543	13	14	,	,	PUNCT
ajst-30543	13	15	hybrid	hybrid	ADJ
ajst-30543	13	16	energy	energy	NOUN
ajst-30543	13	17	storage	storage	NOUN
ajst-30543	13	18	systems	system	NOUN
ajst-30543	13	19	have	have	AUX
ajst-30543	13	20	become	become	VERB
ajst-30543	13	21	a	a	DET
ajst-30543	13	22	hot	hot	ADJ
ajst-30543	13	23	topic	topic	NOUN
ajst-30543	13	24	in	in	ADP
ajst-30543	13	25	current	current	ADJ
ajst-30543	13	26	research	research	NOUN
ajst-30543	13	27	.	.	PUNCT
ajst-30543	14	1	the	the	DET
ajst-30543	14	2	accuracy	accuracy	NOUN
ajst-30543	14	3	of	of	ADP
ajst-30543	14	4	the	the	DET
ajst-30543	14	5	battery	battery	NOUN
ajst-30543	14	6	and	and	CCONJ
ajst-30543	14	7	ultracapacitor	ultracapacitor	NOUN
ajst-30543	14	8	models	model	NOUN
ajst-30543	14	9	is	be	AUX
ajst-30543	14	10	highly	highly	ADV
ajst-30543	14	11	dependent	dependent	ADJ
ajst-30543	14	12	on	on	ADP
ajst-30543	14	13	the	the	DET
ajst-30543	14	14	parameter	parameter	NOUN
ajst-30543	14	15	identification	identification	NOUN
ajst-30543	14	16	methods	method	NOUN
ajst-30543	14	17	used[9,10	used[9,10	PRON
ajst-30543	14	18	]	]	PUNCT
ajst-30543	14	19	.	.	PUNCT
ajst-30543	15	1	this	this	DET
ajst-30543	15	2	study	study	NOUN
ajst-30543	15	3	focuses	focus	VERB
ajst-30543	15	4	on	on	ADP
ajst-30543	15	5	the	the	DET
ajst-30543	15	6	parameter	parameter	NOUN
ajst-30543	15	7	identification	identification	NOUN
ajst-30543	15	8	of	of	ADP
ajst-30543	15	9	battery	battery	NOUN
ajst-30543	15	10	and	and	CCONJ
ajst-30543	15	11	ultracapacitor	ultracapacitor	NOUN
ajst-30543	15	12	models	model	NOUN
ajst-30543	15	13	,	,	PUNCT
ajst-30543	15	14	and	and	CCONJ
ajst-30543	15	15	three	three	NUM
ajst-30543	15	16	representative	representative	ADJ
ajst-30543	15	17	intelligent	intelligent	ADJ
ajst-30543	15	18	optimization	optimization	NOUN
ajst-30543	15	19	algorithms	algorithm	NOUN
ajst-30543	15	20	,	,	PUNCT
ajst-30543	15	21	namely	namely	ADV
ajst-30543	15	22	grey	grey	ADJ
ajst-30543	15	23	wolf	wolf	PROPN
ajst-30543	15	24	optimisation	optimisation	NOUN
ajst-30543	15	25	algorithm	algorithm	NOUN
ajst-30543	15	26	(	(	PUNCT
ajst-30543	15	27	gwo	gwo	PROPN
ajst-30543	15	28	)	)	PUNCT
ajst-30543	15	29	,	,	PUNCT
ajst-30543	15	30	particle	particle	NOUN
ajst-30543	15	31	swarm	swarm	NOUN
ajst-30543	15	32	optimisation	optimisation	NOUN
ajst-30543	15	33	algorithm	algorithm	NOUN
ajst-30543	15	34	(	(	PUNCT
ajst-30543	15	35	pso	pso	NOUN
ajst-30543	15	36	)	)	PUNCT
ajst-30543	15	37	,	,	PUNCT
ajst-30543	15	38	and	and	CCONJ
ajst-30543	15	39	genetic	genetic	ADJ
ajst-30543	15	40	algorithm	algorithm	NOUN
ajst-30543	15	41	(	(	PUNCT
ajst-30543	15	42	ga	ga	PROPN
ajst-30543	15	43	)	)	PUNCT
ajst-30543	15	44	,	,	PUNCT
ajst-30543	15	45	are	be	AUX
ajst-30543	15	46	selected	select	VERB
ajst-30543	15	47	to	to	PART
ajst-30543	15	48	provide	provide	VERB
ajst-30543	15	49	in	in	ADP
ajst-30543	15	50	-	-	PUNCT
ajst-30543	15	51	depth	depth	NOUN
ajst-30543	15	52	identification	identification	NOUN
ajst-30543	15	53	of	of	ADP
ajst-30543	15	54	the	the	DET
ajst-30543	15	55	parameters	parameter	NOUN
ajst-30543	15	56	of	of	ADP
ajst-30543	15	57	the	the	DET
ajst-30543	15	58	battery	battery	NOUN
ajst-30543	15	59	and	and	CCONJ
ajst-30543	15	60	ultracapacitor	ultracapacitor	NOUN
ajst-30543	15	61	models	model	NOUN
ajst-30543	15	62	,	,	PUNCT
ajst-30543	15	63	respectively[11–13	respectively[11–13	PROPN
ajst-30543	15	64	]	]	PUNCT
ajst-30543	15	65	.	.	PUNCT
ajst-30543	16	1	the	the	DET
ajst-30543	16	2	results	result	NOUN
ajst-30543	16	3	show	show	VERB
ajst-30543	16	4	that	that	SCONJ
ajst-30543	16	5	gwo	gwo	PROPN
ajst-30543	16	6	exhibits	exhibit	VERB
ajst-30543	16	7	more	more	ADV
ajst-30543	16	8	excellent	excellent	ADJ
ajst-30543	16	9	performance	performance	NOUN
ajst-30543	16	10	in	in	ADP
ajst-30543	16	11	the	the	DET
ajst-30543	16	12	parameter	parameter	NOUN
ajst-30543	16	13	identification	identification	NOUN
ajst-30543	16	14	process	process	NOUN
ajst-30543	16	15	.	.	PUNCT
ajst-30543	17	1	compared	compare	VERB
ajst-30543	17	2	to	to	ADP
ajst-30543	17	3	the	the	DET
ajst-30543	17	4	other	other	ADJ
ajst-30543	17	5	two	two	NUM
ajst-30543	17	6	algorithms	algorithm	NOUN
ajst-30543	17	7	,	,	PUNCT
ajst-30543	17	8	its	its	PRON
ajst-30543	17	9	recognition	recognition	NOUN
ajst-30543	17	10	is	be	AUX
ajst-30543	17	11	more	more	ADV
ajst-30543	17	12	superior	superior	ADJ
ajst-30543	17	13	and	and	CCONJ
ajst-30543	17	14	more	more	ADV
ajst-30543	17	15	accurate	accurate	ADJ
ajst-30543	17	16	.	.	PUNCT
ajst-30543	18	1	2	2	X
ajst-30543	18	2	.	.	X
ajst-30543	18	3	battery	battery	NOUN
ajst-30543	18	4	and	and	CCONJ
ajst-30543	18	5	ultracapacitor	ultracapacitor	NOUN
ajst-30543	18	6	testing	testing	NOUN
ajst-30543	18	7	2.1	2.1	NUM
ajst-30543	18	8	.	.	PUNCT
ajst-30543	19	1	experimental	experimental	ADJ
ajst-30543	19	2	platform	platform	NOUN
ajst-30543	19	3	construction	construction	NOUN
ajst-30543	19	4	the	the	DET
ajst-30543	19	5	core	core	ADJ
ajst-30543	19	6	components	component	NOUN
ajst-30543	19	7	of	of	ADP
ajst-30543	19	8	the	the	DET
ajst-30543	19	9	experimental	experimental	ADJ
ajst-30543	19	10	platform	platform	NOUN
ajst-30543	19	11	for	for	ADP
ajst-30543	19	12	this	this	DET
ajst-30543	19	13	study	study	NOUN
ajst-30543	19	14	include	include	VERB
ajst-30543	19	15	the	the	DET
ajst-30543	19	16	host	host	NOUN
ajst-30543	19	17	computer	computer	NOUN
ajst-30543	19	18	,	,	PUNCT
ajst-30543	19	19	an	an	DET
ajst-30543	19	20	arbin	arbin	NOUN
ajst-30543	19	21	-	-	PUNCT
ajst-30543	19	22	branded	brand	VERB
ajst-30543	19	23	bt-5hc	bt-5hc	NOUN
ajst-30543	19	24	high	high	ADJ
ajst-30543	19	25	-	-	PUNCT
ajst-30543	19	26	performance	performance	NOUN
ajst-30543	19	27	power	power	NOUN
ajst-30543	19	28	test	test	NOUN
ajst-30543	19	29	system	system	NOUN
ajst-30543	19	30	,	,	PUNCT
ajst-30543	19	31	and	and	CCONJ
ajst-30543	19	32	an	an	DET
ajst-30543	19	33	rgd-500	rgd-500	ADJ
ajst-30543	19	34	thermal	thermal	ADJ
ajst-30543	19	35	chamber	chamber	NOUN
ajst-30543	19	36	for	for	ADP
ajst-30543	19	37	maintaining	maintain	VERB
ajst-30543	19	38	a	a	DET
ajst-30543	19	39	constant	constant	ADJ
ajst-30543	19	40	temperature	temperature	NOUN
ajst-30543	19	41	.	.	PUNCT
ajst-30543	20	1	the	the	DET
ajst-30543	20	2	overall	overall	ADJ
ajst-30543	20	3	layout	layout	NOUN
ajst-30543	20	4	is	be	AUX
ajst-30543	20	5	shown	show	VERB
ajst-30543	20	6	in	in	ADP
ajst-30543	20	7	figure	figure	NOUN
ajst-30543	20	8	1	1	NUM
ajst-30543	20	9	.	.	PUNCT
ajst-30543	21	1	in	in	ADP
ajst-30543	21	2	this	this	DET
ajst-30543	21	3	architecture	architecture	NOUN
ajst-30543	21	4	,	,	PUNCT
ajst-30543	21	5	the	the	DET
ajst-30543	21	6	host	host	NOUN
ajst-30543	21	7	computer	computer	NOUN
ajst-30543	21	8	plays	play	VERB
ajst-30543	21	9	a	a	DET
ajst-30543	21	10	crucial	crucial	ADJ
ajst-30543	21	11	role	role	NOUN
ajst-30543	21	12	,	,	PUNCT
ajst-30543	21	13	which	which	PRON
ajst-30543	21	14	not	not	PART
ajst-30543	21	15	only	only	ADV
ajst-30543	21	16	monitors	monitor	VERB
ajst-30543	21	17	the	the	DET
ajst-30543	21	18	operation	operation	NOUN
ajst-30543	21	19	of	of	ADP
ajst-30543	21	20	the	the	DET
ajst-30543	21	21	experimental	experimental	ADJ
ajst-30543	21	22	device	device	NOUN
ajst-30543	21	23	in	in	ADP
ajst-30543	21	24	real	real	ADJ
ajst-30543	21	25	time	time	NOUN
ajst-30543	21	26	but	but	CCONJ
ajst-30543	21	27	also	also	ADV
ajst-30543	21	28	is	be	AUX
ajst-30543	21	29	responsible	responsible	ADJ
ajst-30543	21	30	for	for	ADP
ajst-30543	21	31	the	the	DET
ajst-30543	21	32	development	development	NOUN
ajst-30543	21	33	of	of	ADP
ajst-30543	21	34	the	the	DET
ajst-30543	21	35	experimental	experimental	ADJ
ajst-30543	21	36	management	management	NOUN
ajst-30543	21	37	application	application	NOUN
ajst-30543	21	38	,	,	PUNCT
ajst-30543	21	39	which	which	PRON
ajst-30543	21	40	ensures	ensure	VERB
ajst-30543	21	41	the	the	DET
ajst-30543	21	42	efficient	efficient	ADJ
ajst-30543	21	43	transmission	transmission	NOUN
ajst-30543	21	44	and	and	CCONJ
ajst-30543	21	45	safe	safe	ADJ
ajst-30543	21	46	storage	storage	NOUN
ajst-30543	21	47	of	of	ADP
ajst-30543	21	48	experimental	experimental	ADJ
ajst-30543	21	49	data	datum	NOUN
ajst-30543	21	50	.	.	PUNCT
ajst-30543	22	1	in	in	ADP
ajst-30543	22	2	order	order	NOUN
ajst-30543	22	3	to	to	PART
ajst-30543	22	4	explore	explore	VERB
ajst-30543	22	5	the	the	DET
ajst-30543	22	6	target	target	NOUN
ajst-30543	22	7	characteristics	characteristic	NOUN
ajst-30543	22	8	,	,	PUNCT
ajst-30543	22	9	the	the	DET
ajst-30543	22	10	bt-5hc	bt-5hc	NOUN
ajst-30543	22	11	power	power	NOUN
ajst-30543	22	12	test	test	NOUN
ajst-30543	22	13	system	system	NOUN
ajst-30543	22	14	provided	provide	VERB
ajst-30543	22	15	by	by	ADP
ajst-30543	22	16	arbin	arbin	PROPN
ajst-30543	22	17	was	be	AUX
ajst-30543	22	18	selected	select	VERB
ajst-30543	22	19	for	for	ADP
ajst-30543	22	20	this	this	DET
ajst-30543	22	21	study	study	NOUN
ajst-30543	22	22	,	,	PUNCT
ajst-30543	22	23	which	which	PRON
ajst-30543	22	24	is	be	AUX
ajst-30543	22	25	known	know	VERB
ajst-30543	22	26	for	for	ADP
ajst-30543	22	27	its	its	PRON
ajst-30543	22	28	multi	multi	ADJ
ajst-30543	22	29	-	-	ADJ
ajst-30543	22	30	channel	channel	ADJ
ajst-30543	22	31	independent	independent	ADJ
ajst-30543	22	32	design	design	NOUN
ajst-30543	22	33	and	and	CCONJ
ajst-30543	22	34	advanced	advanced	ADJ
ajst-30543	22	35	voltage	voltage	NOUN
ajst-30543	22	36	clamping	clamp	VERB
ajst-30543	22	37	safety	safety	NOUN
ajst-30543	22	38	mechanism	mechanism	NOUN
ajst-30543	22	39	.	.	PUNCT
ajst-30543	23	1	the	the	DET
ajst-30543	23	2	data	datum	NOUN
ajst-30543	23	3	sampling	sample	VERB
ajst-30543	23	4	frequency	frequency	NOUN
ajst-30543	23	5	of	of	ADP
ajst-30543	23	6	the	the	DET
ajst-30543	23	7	system	system	NOUN
ajst-30543	23	8	was	be	AUX
ajst-30543	23	9	set	set	VERB
ajst-30543	23	10	to	to	ADP
ajst-30543	23	11	1hz	1hz	VERB
ajst-30543	23	12	in	in	ADP
ajst-30543	23	13	the	the	DET
ajst-30543	23	14	experiment	experiment	NOUN
ajst-30543	23	15	to	to	PART
ajst-30543	23	16	capture	capture	VERB
ajst-30543	23	17	the	the	DET
ajst-30543	23	18	key	key	ADJ
ajst-30543	23	19	information	information	NOUN
ajst-30543	23	20	accurately	accurately	ADV
ajst-30543	23	21	during	during	ADP
ajst-30543	23	22	the	the	DET
ajst-30543	23	23	experiment	experiment	NOUN
ajst-30543	23	24	.	.	PUNCT
ajst-30543	24	1	in	in	ADP
ajst-30543	24	2	addition	addition	NOUN
ajst-30543	24	3	,	,	PUNCT
ajst-30543	24	4	the	the	DET
ajst-30543	24	5	voltage	voltage	NOUN
ajst-30543	24	6	range	range	NOUN
ajst-30543	24	7	of	of	ADP
ajst-30543	24	8	the	the	DET
ajst-30543	24	9	test	test	NOUN
ajst-30543	24	10	system	system	NOUN
ajst-30543	24	11	is	be	AUX
ajst-30543	24	12	set	set	VERB
ajst-30543	24	13	to	to	ADP
ajst-30543	24	14	[	[	X
ajst-30543	24	15	0v~5v	0v~5v	NOUN
ajst-30543	24	16	]	]	PUNCT
ajst-30543	24	17	and	and	CCONJ
ajst-30543	24	18	the	the	DET
ajst-30543	24	19	current	current	ADJ
ajst-30543	24	20	range	range	NOUN
ajst-30543	24	21	is	be	AUX
ajst-30543	24	22	set	set	VERB
ajst-30543	24	23	to	to	ADP
ajst-30543	24	24	[	[	X
ajst-30543	24	25	100a~100a	100a~100a	X
ajst-30543	24	26	]	]	X
ajst-30543	24	27	,	,	PUNCT
ajst-30543	24	28	which	which	PRON
ajst-30543	24	29	fully	fully	ADV
ajst-30543	24	30	meets	meet	VERB
ajst-30543	24	31	the	the	DET
ajst-30543	24	32	diversity	diversity	NOUN
ajst-30543	24	33	and	and	CCONJ
ajst-30543	24	34	accuracy	accuracy	NOUN
ajst-30543	24	35	of	of	ADP
ajst-30543	24	36	the	the	DET
ajst-30543	24	37	experimental	experimental	ADJ
ajst-30543	24	38	requirements	requirement	NOUN
ajst-30543	24	39	.	.	PUNCT
ajst-30543	25	1	as	as	ADP
ajst-30543	25	2	the	the	DET
ajst-30543	25	3	key	key	ADJ
ajst-30543	25	4	components	component	NOUN
ajst-30543	25	5	of	of	ADP
ajst-30543	25	6	the	the	DET
ajst-30543	25	7	experiment	experiment	NOUN
ajst-30543	25	8	,	,	PUNCT
ajst-30543	25	9	we	we	PRON
ajst-30543	25	10	chose	choose	VERB
ajst-30543	25	11	a	a	DET
ajst-30543	25	12	high	high	ADJ
ajst-30543	25	13	-	-	PUNCT
ajst-30543	25	14	performance	performance	NOUN
ajst-30543	25	15	supercapacitor	supercapacitor	NOUN
ajst-30543	25	16	with	with	ADP
ajst-30543	25	17	a	a	DET
ajst-30543	25	18	rated	rate	VERB
ajst-30543	25	19	operating	operate	VERB
ajst-30543	25	20	voltage	voltage	NOUN
ajst-30543	25	21	of	of	ADP
ajst-30543	25	22	2.7v	2.7v	NUM
ajst-30543	25	23	and	and	CCONJ
ajst-30543	25	24	a	a	DET
ajst-30543	25	25	capacity	capacity	NOUN
ajst-30543	25	26	of	of	ADP
ajst-30543	25	27	1500f	1500f	NUM
ajst-30543	25	28	and	and	CCONJ
ajst-30543	25	29	a	a	DET
ajst-30543	25	30	lithium	lithium	NOUN
ajst-30543	25	31	ternary	ternary	ADJ
ajst-30543	25	32	battery	battery	NOUN
ajst-30543	25	33	with	with	ADP
ajst-30543	25	34	a	a	DET
ajst-30543	25	35	rated	rate	VERB
ajst-30543	25	36	voltage	voltage	NOUN
ajst-30543	25	37	of	of	ADP
ajst-30543	25	38	3.6v	3.6v	NUM
ajst-30543	25	39	and	and	CCONJ
ajst-30543	25	40	a	a	DET
ajst-30543	25	41	rated	rate	VERB
ajst-30543	25	42	capacity	capacity	NOUN
ajst-30543	25	43	of	of	ADP
ajst-30543	25	44	2ah	2ah	NOUN
ajst-30543	25	45	.	.	PUNCT
ajst-30543	26	1	to	to	PART
ajst-30543	26	2	ensure	ensure	VERB
ajst-30543	26	3	the	the	DET
ajst-30543	26	4	consistency	consistency	NOUN
ajst-30543	26	5	of	of	ADP
ajst-30543	26	6	the	the	DET
ajst-30543	26	7	experimental	experimental	ADJ
ajst-30543	26	8	conditions	condition	NOUN
ajst-30543	26	9	,	,	PUNCT
ajst-30543	26	10	the	the	DET
ajst-30543	26	11	battery	battery	NOUN
ajst-30543	26	12	and	and	CCONJ
ajst-30543	26	13	ultracapacitor	ultracapacitor	NOUN
ajst-30543	26	14	were	be	AUX
ajst-30543	26	15	placed	place	VERB
ajst-30543	26	16	in	in	ADP
ajst-30543	26	17	the	the	DET
ajst-30543	26	18	rgd-500	rgd-500	ADJ
ajst-30543	26	19	thermal	thermal	ADJ
ajst-30543	26	20	chamber	chamber	NOUN
ajst-30543	26	21	,	,	PUNCT
ajst-30543	26	22	which	which	PRON
ajst-30543	26	23	can	can	AUX
ajst-30543	26	24	effectively	effectively	ADV
ajst-30543	26	25	maintain	maintain	VERB
ajst-30543	26	26	the	the	DET
ajst-30543	26	27	constant	constant	ADJ
ajst-30543	26	28	temperature	temperature	NOUN
ajst-30543	26	29	of	of	ADP
ajst-30543	26	30	the	the	DET
ajst-30543	26	31	experimental	experimental	ADJ
ajst-30543	26	32	environment	environment	NOUN
ajst-30543	26	33	and	and	CCONJ
ajst-30543	26	34	eliminate	eliminate	VERB
ajst-30543	26	35	the	the	DET
ajst-30543	26	36	interference	interference	NOUN
ajst-30543	26	37	of	of	ADP
ajst-30543	26	38	temperature	temperature	NOUN
ajst-30543	26	39	fluctuations	fluctuation	NOUN
ajst-30543	26	40	on	on	ADP
ajst-30543	26	41	the	the	DET
ajst-30543	26	42	experimental	experimental	ADJ
ajst-30543	26	43	results	result	NOUN
ajst-30543	26	44	.	.	PUNCT
ajst-30543	27	1	168	168	NUM
ajst-30543	27	2	figure	figure	NOUN
ajst-30543	27	3	1	1	NUM
ajst-30543	27	4	.	.	PUNCT
ajst-30543	27	5	experimental	experimental	ADJ
ajst-30543	27	6	platforms	platform	NOUN
ajst-30543	27	7	2.2	2.2	NUM
ajst-30543	27	8	.	.	PUNCT
ajst-30543	28	1	results	result	NOUN
ajst-30543	28	2	of	of	ADP
ajst-30543	28	3	the	the	DET
ajst-30543	28	4	experiment	experiment	NOUN
ajst-30543	28	5	this	this	DET
ajst-30543	28	6	study	study	NOUN
ajst-30543	28	7	aims	aim	VERB
ajst-30543	28	8	to	to	PART
ajst-30543	28	9	build	build	VERB
ajst-30543	28	10	a	a	DET
ajst-30543	28	11	comprehensive	comprehensive	ADJ
ajst-30543	28	12	experimental	experimental	ADJ
ajst-30543	28	13	database	database	NOUN
ajst-30543	28	14	integrating	integrate	VERB
ajst-30543	28	15	data	datum	NOUN
ajst-30543	28	16	from	from	ADP
ajst-30543	28	17	hybrid	hybrid	ADJ
ajst-30543	28	18	pulse	pulse	NOUN
ajst-30543	28	19	power	power	NOUN
ajst-30543	28	20	characteristics	characteristic	NOUN
ajst-30543	28	21	testing	testing	NOUN
ajst-30543	28	22	and	and	CCONJ
ajst-30543	28	23	urban	urban	ADJ
ajst-30543	28	24	road	road	NOUN
ajst-30543	28	25	cycle	cycle	NOUN
ajst-30543	28	26	conditions	condition	NOUN
ajst-30543	28	27	testing	testing	NOUN
ajst-30543	28	28	.	.	PUNCT
ajst-30543	29	1	the	the	DET
ajst-30543	29	2	experimental	experimental	ADJ
ajst-30543	29	3	data	datum	NOUN
ajst-30543	29	4	obtained	obtain	VERB
ajst-30543	29	5	enable	enable	ADJ
ajst-30543	29	6	a	a	DET
ajst-30543	29	7	more	more	ADJ
ajst-30543	29	8	in	in	ADP
ajst-30543	29	9	-	-	PUNCT
ajst-30543	29	10	depth	depth	NOUN
ajst-30543	29	11	evaluation	evaluation	NOUN
ajst-30543	29	12	of	of	ADP
ajst-30543	29	13	the	the	DET
ajst-30543	29	14	performance	performance	NOUN
ajst-30543	29	15	of	of	ADP
ajst-30543	29	16	batteries	battery	NOUN
ajst-30543	29	17	and	and	CCONJ
ajst-30543	29	18	ultracapacitors	ultracapacitor	NOUN
ajst-30543	29	19	.	.	PUNCT
ajst-30543	30	1	table	table	NOUN
ajst-30543	30	2	1	1	NUM
ajst-30543	30	3	.	.	PUNCT
ajst-30543	31	1	detailed	detailed	ADJ
ajst-30543	31	2	experimental	experimental	ADJ
ajst-30543	31	3	steps	step	NOUN
ajst-30543	31	4	step	step	NOUN
ajst-30543	31	5	1	1	NUM
ajst-30543	31	6	maintain	maintain	VERB
ajst-30543	31	7	a	a	DET
ajst-30543	31	8	constant	constant	ADJ
ajst-30543	31	9	current	current	ADJ
ajst-30543	31	10	charge	charge	NOUN
ajst-30543	31	11	of	of	ADP
ajst-30543	31	12	1a	1a	NOUN
ajst-30543	31	13	to	to	PART
ajst-30543	31	14	bring	bring	VERB
ajst-30543	31	15	the	the	DET
ajst-30543	31	16	battery	battery	NOUN
ajst-30543	31	17	or	or	CCONJ
ajst-30543	31	18	supercapacitor	supercapacitor	NOUN
ajst-30543	31	19	voltages	voltage	NOUN
ajst-30543	31	20	to	to	ADP
ajst-30543	31	21	their	their	PRON
ajst-30543	31	22	respective	respective	ADJ
ajst-30543	31	23	upper	upper	ADJ
ajst-30543	31	24	cut	cut	NOUN
ajst-30543	31	25	-	-	PUNCT
ajst-30543	31	26	off	off	ADP
ajst-30543	31	27	voltages	voltage	NOUN
ajst-30543	31	28	;	;	PUNCT
ajst-30543	31	29	step	step	NOUN
ajst-30543	31	30	2	2	NUM
ajst-30543	31	31	stand	stand	VERB
ajst-30543	31	32	for	for	ADP
ajst-30543	31	33	8	8	NUM
ajst-30543	31	34	h	h	NOUN
ajst-30543	31	35	until	until	SCONJ
ajst-30543	31	36	the	the	DET
ajst-30543	31	37	supercapacitor	supercapacitor	NOUN
ajst-30543	31	38	reaches	reach	VERB
ajst-30543	31	39	a	a	DET
ajst-30543	31	40	steady	steady	ADJ
ajst-30543	31	41	state	state	NOUN
ajst-30543	31	42	;	;	PUNCT
ajst-30543	31	43	step	step	NOUN
ajst-30543	31	44	3	3	NUM
ajst-30543	31	45	pulse	pulse	NOUN
ajst-30543	31	46	test	test	NOUN
ajst-30543	31	47	first	first	ADV
ajst-30543	31	48	,	,	PUNCT
ajst-30543	31	49	discharge	discharge	VERB
ajst-30543	31	50	with	with	ADP
ajst-30543	31	51	a	a	DET
ajst-30543	31	52	1a	1a	NUM
ajst-30543	31	53	constant	constant	ADJ
ajst-30543	31	54	current	current	NOUN
ajst-30543	31	55	for	for	ADP
ajst-30543	31	56	7	7	NUM
ajst-30543	31	57	s	s	NOUN
ajst-30543	31	58	;	;	PUNCT
ajst-30543	31	59	stand	stand	VERB
ajst-30543	31	60	for	for	ADP
ajst-30543	31	61	10	10	NUM
ajst-30543	31	62	s	s	NOUN
ajst-30543	31	63	;	;	PUNCT
ajst-30543	31	64	charge	charge	VERB
ajst-30543	31	65	with	with	ADP
ajst-30543	31	66	1a	1a	NOUN
ajst-30543	31	67	constant	constant	ADJ
ajst-30543	31	68	current	current	NOUN
ajst-30543	31	69	for	for	ADP
ajst-30543	31	70	7	7	NUM
ajst-30543	31	71	s	s	NOUN
ajst-30543	31	72	;	;	PUNCT
ajst-30543	31	73	and	and	CCONJ
ajst-30543	31	74	stand	stand	VERB
ajst-30543	31	75	for	for	ADP
ajst-30543	31	76	18	18	NUM
ajst-30543	31	77	s.	s.	PROPN
ajst-30543	31	78	second	second	NOUN
ajst-30543	31	79	,	,	PUNCT
ajst-30543	31	80	discharge	discharge	VERB
ajst-30543	31	81	with	with	ADP
ajst-30543	31	82	a	a	DET
ajst-30543	31	83	3a	3a	NUM
ajst-30543	31	84	constant	constant	ADJ
ajst-30543	31	85	current	current	NOUN
ajst-30543	31	86	for	for	ADP
ajst-30543	31	87	7	7	NUM
ajst-30543	31	88	s	s	NOUN
ajst-30543	31	89	;	;	PUNCT
ajst-30543	31	90	stand	stand	VERB
ajst-30543	31	91	for	for	ADP
ajst-30543	31	92	18	18	NUM
ajst-30543	31	93	s	s	NOUN
ajst-30543	31	94	;	;	PUNCT
ajst-30543	31	95	charge	charge	VERB
ajst-30543	31	96	with	with	ADP
ajst-30543	31	97	a	a	DET
ajst-30543	31	98	3a	3a	NUM
ajst-30543	31	99	constant	constant	ADJ
ajst-30543	31	100	current	current	NOUN
ajst-30543	31	101	for	for	ADP
ajst-30543	31	102	7	7	NUM
ajst-30543	31	103	s	s	NOUN
ajst-30543	31	104	;	;	PUNCT
ajst-30543	31	105	and	and	CCONJ
ajst-30543	31	106	stand	stand	VERB
ajst-30543	31	107	for	for	ADP
ajst-30543	31	108	18	18	NUM
ajst-30543	31	109	s.	s.	PROPN
ajst-30543	31	110	finally	finally	ADV
ajst-30543	31	111	,	,	PUNCT
ajst-30543	31	112	discharge	discharge	VERB
ajst-30543	31	113	with	with	ADP
ajst-30543	31	114	a	a	DET
ajst-30543	31	115	8a	8a	NUM
ajst-30543	31	116	constant	constant	ADJ
ajst-30543	31	117	current	current	NOUN
ajst-30543	31	118	for	for	ADP
ajst-30543	31	119	7	7	NUM
ajst-30543	31	120	s	s	NOUN
ajst-30543	31	121	;	;	PUNCT
ajst-30543	31	122	stand	stand	VERB
ajst-30543	31	123	for	for	ADP
ajst-30543	31	124	18	18	NUM
ajst-30543	31	125	s	s	NOUN
ajst-30543	31	126	;	;	PUNCT
ajst-30543	31	127	charge	charge	VERB
ajst-30543	31	128	with	with	ADP
ajst-30543	31	129	a	a	DET
ajst-30543	31	130	8a	8a	NUM
ajst-30543	31	131	constant	constant	ADJ
ajst-30543	31	132	current	current	NOUN
ajst-30543	31	133	for	for	ADP
ajst-30543	31	134	7	7	NUM
ajst-30543	31	135	s	s	NOUN
ajst-30543	31	136	;	;	PUNCT
ajst-30543	31	137	and	and	CCONJ
ajst-30543	31	138	stand	stand	VERB
ajst-30543	31	139	for	for	ADP
ajst-30543	31	140	18	18	NUM
ajst-30543	31	141	s	s	NOUN
ajst-30543	31	142	;	;	PUNCT
ajst-30543	31	143	step	step	NOUN
ajst-30543	31	144	4	4	NUM
ajst-30543	31	145	maintain	maintain	VERB
ajst-30543	31	146	a	a	DET
ajst-30543	31	147	constant	constant	ADJ
ajst-30543	31	148	current	current	NOUN
ajst-30543	31	149	of	of	ADP
ajst-30543	31	150	1a	1a	NOUN
ajst-30543	31	151	until	until	SCONJ
ajst-30543	31	152	the	the	DET
ajst-30543	31	153	depth	depth	NOUN
ajst-30543	31	154	of	of	ADP
ajst-30543	31	155	discharge	discharge	NOUN
ajst-30543	31	156	of	of	ADP
ajst-30543	31	157	the	the	DET
ajst-30543	31	158	battery	battery	NOUN
ajst-30543	31	159	or	or	CCONJ
ajst-30543	31	160	supercapacitor	supercapacitor	NOUN
ajst-30543	31	161	is	be	AUX
ajst-30543	31	162	reduced	reduce	VERB
ajst-30543	31	163	by	by	ADP
ajst-30543	31	164	10	10	NUM
ajst-30543	31	165	percent	percent	NOUN
ajst-30543	31	166	;	;	PUNCT
ajst-30543	31	167	step	step	NOUN
ajst-30543	31	168	5	5	NUM
ajst-30543	31	169	return	return	NOUN
ajst-30543	31	170	to	to	PART
ajst-30543	31	171	step	step	VERB
ajst-30543	31	172	4	4	NUM
ajst-30543	31	173	until	until	SCONJ
ajst-30543	31	174	10	10	NUM
ajst-30543	31	175	cycles	cycle	NOUN
ajst-30543	31	176	are	be	AUX
ajst-30543	31	177	complete	complete	ADJ
ajst-30543	31	178	:	:	PUNCT
ajst-30543	31	179	step	step	NOUN
ajst-30543	31	180	6	6	NUM
ajst-30543	31	181	end	end	NOUN
ajst-30543	31	182	of	of	ADP
ajst-30543	31	183	test	test	NOUN
ajst-30543	31	184	.	.	PUNCT
ajst-30543	32	1	the	the	DET
ajst-30543	32	2	dynamic	dynamic	ADJ
ajst-30543	32	3	characteristics	characteristic	NOUN
ajst-30543	32	4	of	of	ADP
ajst-30543	32	5	ultracapacitors	ultracapacitor	NOUN
ajst-30543	32	6	and	and	CCONJ
ajst-30543	32	7	batteries	battery	NOUN
ajst-30543	32	8	at	at	ADP
ajst-30543	32	9	different	different	ADJ
ajst-30543	32	10	states	state	NOUN
ajst-30543	32	11	of	of	ADP
ajst-30543	32	12	charge	charge	NOUN
ajst-30543	32	13	(	(	PUNCT
ajst-30543	32	14	soc	soc	NOUN
ajst-30543	32	15	)	)	PUNCT
ajst-30543	32	16	were	be	AUX
ajst-30543	32	17	systematically	systematically	ADV
ajst-30543	32	18	explored	explore	VERB
ajst-30543	32	19	in	in	ADP
ajst-30543	32	20	the	the	DET
ajst-30543	32	21	hppc	hppc	NOUN
ajst-30543	32	22	test	test	NOUN
ajst-30543	32	23	.	.	PUNCT
ajst-30543	33	1	this	this	DET
ajst-30543	33	2	test	test	NOUN
ajst-30543	33	3	procedure	procedure	NOUN
ajst-30543	33	4	was	be	AUX
ajst-30543	33	5	executed	execute	VERB
ajst-30543	33	6	with	with	ADP
ajst-30543	33	7	the	the	DET
ajst-30543	33	8	preset	preset	ADJ
ajst-30543	33	9	steps	step	NOUN
ajst-30543	33	10	,	,	PUNCT
ajst-30543	33	11	and	and	CCONJ
ajst-30543	33	12	the	the	DET
ajst-30543	33	13	detailed	detailed	ADJ
ajst-30543	33	14	experimental	experimental	ADJ
ajst-30543	33	15	steps	step	NOUN
ajst-30543	33	16	are	be	AUX
ajst-30543	33	17	shown	show	VERB
ajst-30543	33	18	in	in	ADP
ajst-30543	33	19	table	table	NOUN
ajst-30543	33	20	1	1	NUM
ajst-30543	33	21	.	.	PUNCT
ajst-30543	34	1	the	the	DET
ajst-30543	34	2	experimental	experimental	ADJ
ajst-30543	34	3	results	result	NOUN
ajst-30543	34	4	provide	provide	VERB
ajst-30543	34	5	valuable	valuable	ADJ
ajst-30543	34	6	data	datum	NOUN
ajst-30543	34	7	support	support	NOUN
ajst-30543	34	8	for	for	ADP
ajst-30543	34	9	subsequent	subsequent	ADJ
ajst-30543	34	10	offline	offline	ADJ
ajst-30543	34	11	parameter	parameter	NOUN
ajst-30543	34	12	identification	identification	NOUN
ajst-30543	34	13	.	.	PUNCT
ajst-30543	35	1	in	in	ADP
ajst-30543	35	2	order	order	NOUN
ajst-30543	35	3	to	to	PART
ajst-30543	35	4	further	far	ADV
ajst-30543	35	5	simulate	simulate	VERB
ajst-30543	35	6	the	the	DET
ajst-30543	35	7	power	power	NOUN
ajst-30543	35	8	demand	demand	NOUN
ajst-30543	35	9	of	of	ADP
ajst-30543	35	10	evs	evs	NOUN
ajst-30543	35	11	in	in	ADP
ajst-30543	35	12	a	a	DET
ajst-30543	35	13	real	real	ADJ
ajst-30543	35	14	driving	driving	NOUN
ajst-30543	35	15	environment	environment	NOUN
ajst-30543	35	16	,	,	PUNCT
ajst-30543	35	17	the	the	DET
ajst-30543	35	18	udds	udds	PROPN
ajst-30543	35	19	test	test	NOUN
ajst-30543	35	20	was	be	AUX
ajst-30543	35	21	introduced	introduce	VERB
ajst-30543	35	22	.	.	PUNCT
ajst-30543	36	1	3	3	X
ajst-30543	36	2	.	.	X
ajst-30543	36	3	parameter	parameter	NOUN
ajst-30543	36	4	identification	identification	NOUN
ajst-30543	36	5	3.1	3.1	NUM
ajst-30543	36	6	.	.	PUNCT
ajst-30543	37	1	battery	battery	NOUN
ajst-30543	37	2	and	and	CCONJ
ajst-30543	37	3	ultracapacitor	ultracapacitor	NOUN
ajst-30543	37	4	modeling	model	VERB
ajst-30543	37	5	the	the	DET
ajst-30543	37	6	electrochemical	electrochemical	ADJ
ajst-30543	37	7	model	model	NOUN
ajst-30543	37	8	can	can	AUX
ajst-30543	37	9	accurately	accurately	ADV
ajst-30543	37	10	reflect	reflect	VERB
ajst-30543	37	11	the	the	DET
ajst-30543	37	12	dynamic	dynamic	ADJ
ajst-30543	37	13	characteristics	characteristic	NOUN
ajst-30543	37	14	of	of	ADP
ajst-30543	37	15	the	the	DET
ajst-30543	37	16	battery	battery	NOUN
ajst-30543	37	17	by	by	ADP
ajst-30543	37	18	describing	describe	VERB
ajst-30543	37	19	the	the	DET
ajst-30543	37	20	electrochemical	electrochemical	ADJ
ajst-30543	37	21	reaction	reaction	NOUN
ajst-30543	37	22	mechanism	mechanism	NOUN
ajst-30543	37	23	inside	inside	ADP
ajst-30543	37	24	the	the	DET
ajst-30543	37	25	battery	battery	NOUN
ajst-30543	37	26	,	,	PUNCT
ajst-30543	37	27	but	but	CCONJ
ajst-30543	37	28	its	its	PRON
ajst-30543	37	29	structure	structure	NOUN
ajst-30543	37	30	is	be	AUX
ajst-30543	37	31	complex	complex	ADJ
ajst-30543	37	32	and	and	CCONJ
ajst-30543	37	33	the	the	DET
ajst-30543	37	34	computational	computational	ADJ
ajst-30543	37	35	volume	volume	NOUN
ajst-30543	37	36	is	be	AUX
ajst-30543	37	37	large	large	ADJ
ajst-30543	37	38	;	;	PUNCT
ajst-30543	37	39	the	the	DET
ajst-30543	37	40	neural	neural	ADJ
ajst-30543	37	41	network	network	NOUN
ajst-30543	37	42	model	model	NOUN
ajst-30543	37	43	establishes	establish	VERB
ajst-30543	37	44	a	a	DET
ajst-30543	37	45	nonlinear	nonlinear	ADJ
ajst-30543	37	46	mapping	mapping	NOUN
ajst-30543	37	47	relationship	relationship	NOUN
ajst-30543	37	48	between	between	ADP
ajst-30543	37	49	input	input	NOUN
ajst-30543	37	50	and	and	CCONJ
ajst-30543	37	51	output	output	NOUN
ajst-30543	37	52	through	through	ADP
ajst-30543	37	53	the	the	DET
ajst-30543	37	54	data	data	NOUN
ajst-30543	37	55	-	-	PUNCT
ajst-30543	37	56	driven	drive	VERB
ajst-30543	37	57	way	way	NOUN
ajst-30543	37	58	,	,	PUNCT
ajst-30543	37	59	which	which	PRON
ajst-30543	37	60	has	have	VERB
ajst-30543	37	61	high	high	ADJ
ajst-30543	37	62	flexibility	flexibility	NOUN
ajst-30543	37	63	,	,	PUNCT
ajst-30543	37	64	but	but	CCONJ
ajst-30543	37	65	it	it	PRON
ajst-30543	37	66	is	be	AUX
ajst-30543	37	67	highly	highly	ADV
ajst-30543	37	68	dependent	dependent	ADJ
ajst-30543	37	69	on	on	ADP
ajst-30543	37	70	the	the	DET
ajst-30543	37	71	training	training	NOUN
ajst-30543	37	72	data	datum	NOUN
ajst-30543	37	73	and	and	CCONJ
ajst-30543	37	74	has	have	VERB
ajst-30543	37	75	poor	poor	ADJ
ajst-30543	37	76	interpretability	interpretability	NOUN
ajst-30543	37	77	.	.	PUNCT
ajst-30543	38	1	in	in	ADP
ajst-30543	38	2	contrast	contrast	NOUN
ajst-30543	38	3	,	,	PUNCT
ajst-30543	38	4	equivalent	equivalent	ADJ
ajst-30543	38	5	circuits	circuit	NOUN
ajst-30543	38	6	are	be	AUX
ajst-30543	38	7	widely	widely	ADV
ajst-30543	38	8	used	use	VERB
ajst-30543	38	9	in	in	ADP
ajst-30543	38	10	electric	electric	ADJ
ajst-30543	38	11	vehicle	vehicle	NOUN
ajst-30543	38	12	energy	energy	NOUN
ajst-30543	38	13	management	management	NOUN
ajst-30543	38	14	systems	system	NOUN
ajst-30543	38	15	for	for	ADP
ajst-30543	38	16	their	their	PRON
ajst-30543	38	17	advantages	advantage	NOUN
ajst-30543	38	18	of	of	ADP
ajst-30543	38	19	fewer	few	ADJ
ajst-30543	38	20	model	model	NOUN
ajst-30543	38	21	parameters	parameter	NOUN
ajst-30543	38	22	and	and	CCONJ
ajst-30543	38	23	higher	high	ADJ
ajst-30543	38	24	computational	computational	ADJ
ajst-30543	38	25	efficiency	efficiency	NOUN
ajst-30543	38	26	.	.	PUNCT
ajst-30543	39	1	compared	compare	VERB
ajst-30543	39	2	with	with	ADP
ajst-30543	39	3	other	other	ADJ
ajst-30543	39	4	traditional	traditional	ADJ
ajst-30543	39	5	equivalent	equivalent	ADJ
ajst-30543	39	6	circuit	circuit	NOUN
ajst-30543	39	7	models	model	NOUN
ajst-30543	39	8	,	,	PUNCT
ajst-30543	39	9	the	the	DET
ajst-30543	39	10	thevenin	thevenin	NOUN
ajst-30543	39	11	model	model	NOUN
ajst-30543	39	12	was	be	AUX
ajst-30543	39	13	chosen	choose	VERB
ajst-30543	39	14	as	as	ADP
ajst-30543	39	15	the	the	DET
ajst-30543	39	16	battery	battery	NOUN
ajst-30543	39	17	model	model	NOUN
ajst-30543	39	18	for	for	ADP
ajst-30543	39	19	this	this	DET
ajst-30543	39	20	study	study	NOUN
ajst-30543	39	21	due	due	ADP
ajst-30543	39	22	to	to	ADP
ajst-30543	39	23	its	its	PRON
ajst-30543	39	24	simple	simple	ADJ
ajst-30543	39	25	structure	structure	NOUN
ajst-30543	39	26	,	,	PUNCT
ajst-30543	39	27	computational	computational	ADJ
ajst-30543	39	28	efficiency	efficiency	NOUN
ajst-30543	39	29	,	,	PUNCT
ajst-30543	39	30	and	and	CCONJ
ajst-30543	39	31	ability	ability	NOUN
ajst-30543	39	32	to	to	PART
ajst-30543	39	33	obtain	obtain	VERB
ajst-30543	39	34	the	the	DET
ajst-30543	39	35	required	require	VERB
ajst-30543	39	36	data	datum	NOUN
ajst-30543	39	37	quickly	quickly	ADV
ajst-30543	39	38	and	and	CCONJ
ajst-30543	39	39	accurately	accurately	ADV
ajst-30543	39	40	.	.	PUNCT
ajst-30543	40	1	for	for	ADP
ajst-30543	40	2	ultracapacitors	ultracapacitor	NOUN
ajst-30543	40	3	in	in	ADP
ajst-30543	40	4	energy	energy	NOUN
ajst-30543	40	5	storage	storage	NOUN
ajst-30543	40	6	devices	device	NOUN
ajst-30543	40	7	,	,	PUNCT
ajst-30543	40	8	a	a	DET
ajst-30543	40	9	more	more	ADV
ajst-30543	40	10	concise	concise	ADJ
ajst-30543	40	11	rint	rint	NOUN
ajst-30543	40	12	model	model	NOUN
ajst-30543	40	13	is	be	AUX
ajst-30543	40	14	used	use	VERB
ajst-30543	40	15	in	in	ADP
ajst-30543	40	16	this	this	DET
ajst-30543	40	17	study	study	NOUN
ajst-30543	40	18	.	.	PUNCT
ajst-30543	41	1	this	this	DET
ajst-30543	41	2	model	model	NOUN
ajst-30543	41	3	effectively	effectively	ADV
ajst-30543	41	4	balances	balance	VERB
ajst-30543	41	5	computational	computational	ADJ
ajst-30543	41	6	complexity	complexity	NOUN
ajst-30543	41	7	while	while	SCONJ
ajst-30543	41	8	ensuring	ensure	VERB
ajst-30543	41	9	model	model	NOUN
ajst-30543	41	10	accuracy	accuracy	NOUN
ajst-30543	41	11	.	.	PUNCT
ajst-30543	42	1	169	169	NUM
ajst-30543	42	2	figure	figure	NOUN
ajst-30543	42	3	2	2	NUM
ajst-30543	42	4	visualizes	visualize	VERB
ajst-30543	42	5	the	the	DET
ajst-30543	42	6	circuit	circuit	NOUN
ajst-30543	42	7	architecture	architecture	NOUN
ajst-30543	42	8	of	of	ADP
ajst-30543	42	9	the	the	DET
ajst-30543	42	10	thevenin	thevenin	NOUN
ajst-30543	42	11	and	and	CCONJ
ajst-30543	42	12	rint	rint	NOUN
ajst-30543	42	13	models	model	NOUN
ajst-30543	42	14	.	.	PUNCT
ajst-30543	43	1	figure	figure	NOUN
ajst-30543	43	2	2	2	NUM
ajst-30543	43	3	.	.	PUNCT
ajst-30543	43	4	equivalent	equivalent	ADJ
ajst-30543	43	5	circuit	circuit	NOUN
ajst-30543	43	6	models	model	NOUN
ajst-30543	43	7	of	of	ADP
ajst-30543	43	8	(	(	PUNCT
ajst-30543	43	9	a	a	X
ajst-30543	43	10	)	)	PUNCT
ajst-30543	43	11	thevenin	thevenin	NOUN
ajst-30543	43	12	and	and	CCONJ
ajst-30543	43	13	(	(	PUNCT
ajst-30543	43	14	b	b	NOUN
ajst-30543	43	15	)	)	PUNCT
ajst-30543	43	16	rint	rint	NOUN
ajst-30543	43	17	in	in	ADP
ajst-30543	43	18	the	the	DET
ajst-30543	43	19	thevenin	thevenin	NOUN
ajst-30543	43	20	model	model	NOUN
ajst-30543	43	21	,	,	PUNCT
ajst-30543	43	22	an	an	DET
ajst-30543	43	23	rc	rc	PROPN
ajst-30543	43	24	network	network	NOUN
ajst-30543	43	25	composed	compose	VERB
ajst-30543	43	26	of	of	ADP
ajst-30543	43	27	polarization	polarization	NOUN
ajst-30543	43	28	resistance	resistance	NOUN
ajst-30543	43	29	rm	rm	PROPN
ajst-30543	43	30	and	and	CCONJ
ajst-30543	43	31	polarization	polarization	NOUN
ajst-30543	43	32	capacitance	capacitance	NOUN
ajst-30543	43	33	cm	cm	NOUN
ajst-30543	43	34	is	be	AUX
ajst-30543	43	35	cleverly	cleverly	ADV
ajst-30543	43	36	introduced	introduce	VERB
ajst-30543	43	37	to	to	PART
ajst-30543	43	38	accurately	accurately	ADV
ajst-30543	43	39	describe	describe	VERB
ajst-30543	43	40	the	the	DET
ajst-30543	43	41	polarization	polarization	NOUN
ajst-30543	43	42	effect	effect	NOUN
ajst-30543	43	43	of	of	ADP
ajst-30543	43	44	the	the	DET
ajst-30543	43	45	battery	battery	NOUN
ajst-30543	43	46	.	.	PUNCT
ajst-30543	44	1	this	this	DET
ajst-30543	44	2	design	design	NOUN
ajst-30543	44	3	allows	allow	VERB
ajst-30543	44	4	the	the	DET
ajst-30543	44	5	model	model	NOUN
ajst-30543	44	6	to	to	PART
ajst-30543	44	7	more	more	ADV
ajst-30543	44	8	accurately	accurately	ADV
ajst-30543	44	9	capture	capture	VERB
ajst-30543	44	10	the	the	DET
ajst-30543	44	11	dynamic	dynamic	ADJ
ajst-30543	44	12	behavior	behavior	NOUN
ajst-30543	44	13	of	of	ADP
ajst-30543	44	14	the	the	DET
ajst-30543	44	15	battery	battery	NOUN
ajst-30543	44	16	during	during	ADP
ajst-30543	44	17	charging	charge	VERB
ajst-30543	44	18	and	and	CCONJ
ajst-30543	44	19	discharging	discharge	VERB
ajst-30543	44	20	.	.	PUNCT
ajst-30543	45	1	for	for	ADP
ajst-30543	45	2	the	the	DET
ajst-30543	45	3	rint	rint	NOUN
ajst-30543	45	4	model	model	NOUN
ajst-30543	45	5	,	,	PUNCT
ajst-30543	45	6	the	the	DET
ajst-30543	45	7	model	model	NOUN
ajst-30543	45	8	contains	contain	VERB
ajst-30543	45	9	only	only	ADV
ajst-30543	45	10	an	an	DET
ajst-30543	45	11	internal	internal	ADJ
ajst-30543	45	12	resistance	resistance	NOUN
ajst-30543	45	13	rh	rh	PROPN
ajst-30543	45	14	,	,	PUNCT
ajst-30543	45	15	which	which	PRON
ajst-30543	45	16	is	be	AUX
ajst-30543	45	17	used	use	VERB
ajst-30543	45	18	to	to	PART
ajst-30543	45	19	represent	represent	VERB
ajst-30543	45	20	the	the	DET
ajst-30543	45	21	internal	internal	ADJ
ajst-30543	45	22	resistance	resistance	NOUN
ajst-30543	45	23	loss	loss	NOUN
ajst-30543	45	24	of	of	ADP
ajst-30543	45	25	the	the	DET
ajst-30543	45	26	ultracapacitor	ultracapacitor	NOUN
ajst-30543	45	27	.	.	PUNCT
ajst-30543	46	1	although	although	SCONJ
ajst-30543	46	2	the	the	DET
ajst-30543	46	3	rint	rint	NOUN
ajst-30543	46	4	model	model	NOUN
ajst-30543	46	5	is	be	AUX
ajst-30543	46	6	more	more	ADV
ajst-30543	46	7	simplified	simplified	ADJ
ajst-30543	46	8	compared	compare	VERB
ajst-30543	46	9	to	to	ADP
ajst-30543	46	10	the	the	DET
ajst-30543	46	11	thevenin	thevenin	NOUN
ajst-30543	46	12	model	model	NOUN
ajst-30543	46	13	,	,	PUNCT
ajst-30543	46	14	it	it	PRON
ajst-30543	46	15	can	can	AUX
ajst-30543	46	16	provide	provide	VERB
ajst-30543	46	17	sufficient	sufficient	ADJ
ajst-30543	46	18	accuracy	accuracy	NOUN
ajst-30543	46	19	for	for	ADP
ajst-30543	46	20	energy	energy	NOUN
ajst-30543	46	21	storage	storage	NOUN
ajst-30543	46	22	elements	element	NOUN
ajst-30543	46	23	such	such	ADJ
ajst-30543	46	24	as	as	ADP
ajst-30543	46	25	ultracapacitors	ultracapacitor	NOUN
ajst-30543	46	26	,	,	PUNCT
ajst-30543	46	27	which	which	PRON
ajst-30543	46	28	have	have	AUX
ajst-30543	46	29	fast	fast	ADV
ajst-30543	46	30	charging	charge	VERB
ajst-30543	46	31	and	and	CCONJ
ajst-30543	46	32	discharging	discharge	VERB
ajst-30543	46	33	characteristics	characteristic	NOUN
ajst-30543	46	34	.	.	PUNCT
ajst-30543	47	1	the	the	DET
ajst-30543	47	2	operating	operate	VERB
ajst-30543	47	3	equations	equation	NOUN
ajst-30543	47	4	of	of	ADP
ajst-30543	47	5	thevenin	thevenin	NOUN
ajst-30543	47	6	and	and	CCONJ
ajst-30543	47	7	rint	rint	NOUN
ajst-30543	47	8	models	model	NOUN
ajst-30543	47	9	are	be	AUX
ajst-30543	47	10	shown	show	VERB
ajst-30543	47	11	in	in	ADP
ajst-30543	47	12	eqs	eqs	PROPN
ajst-30543	47	13	.	.	PUNCT
ajst-30543	48	1	(	(	PUNCT
ajst-30543	48	2	1	1	X
ajst-30543	48	3	)	)	PUNCT
ajst-30543	48	4	and	and	CCONJ
ajst-30543	48	5	(	(	PUNCT
ajst-30543	48	6	2	2	NUM
ajst-30543	48	7	)	)	PUNCT
ajst-30543	48	8	.	.	PUNCT
ajst-30543	49	1	n	n	PROPN
ajst-30543	49	2	ocv	ocv	ADV
ajst-30543	49	3	m	m	PROPN
ajst-30543	49	4	t	t	NOUN
ajst-30543	49	5	m	m	VERB
ajst-30543	49	6	m	m	VERB
ajst-30543	49	7	m	m	VERB
ajst-30543	49	8	t	t	PROPN
ajst-30543	49	9	t	t	PROPN
ajst-30543	49	10	n	n	CCONJ
ajst-30543	49	11	n	n	PROPN
ajst-30543	49	12	ui	ui	NOUN
ajst-30543	50	1	u	u	NOUN
ajst-30543	50	2	c	c	NOUN
ajst-30543	50	3	r	r	NOUN
ajst-30543	50	4	c	c	NOUN
ajst-30543	50	5	u	u	NOUN
ajst-30543	50	6	u	u	NOUN
ajst-30543	51	1	i	i	PRON
ajst-30543	51	2	r	r	VERB
ajst-30543	51	3			VERB
ajst-30543	51	4			NOUN
ajst-30543	51	5			NOUN
ajst-30543	51	6			NUM
ajst-30543	51	7			NUM
ajst-30543	51	8			NOUN
ajst-30543	51	9			X
ajst-30543	51	10			CCONJ
ajst-30543	51	11	(	(	PUNCT
ajst-30543	51	12	0	0	NUM
ajst-30543	51	13	)	)	PUNCT
ajst-30543	52	1	o	o	NOUN
ajst-30543	52	2	h	h	NOUN
ajst-30543	52	3	hu	hu	PROPN
ajst-30543	53	1	u	u	INTJ
ajst-30543	53	2	i	i	PRON
ajst-30543	53	3	r	r	VERB
ajst-30543	53	4			NOUN
ajst-30543	53	5	(	(	PUNCT
ajst-30543	53	6	1	1	NUM
ajst-30543	53	7	)	)	PUNCT
ajst-30543	53	8	to	to	PART
ajst-30543	53	9	fully	fully	ADV
ajst-30543	53	10	describe	describe	VERB
ajst-30543	53	11	the	the	DET
ajst-30543	53	12	two	two	NUM
ajst-30543	53	13	models	model	NOUN
ajst-30543	53	14	,	,	PUNCT
ajst-30543	53	15	four	four	NUM
ajst-30543	53	16	key	key	ADJ
ajst-30543	53	17	parameters	parameter	NOUN
ajst-30543	53	18	need	need	VERB
ajst-30543	53	19	to	to	PART
ajst-30543	53	20	be	be	AUX
ajst-30543	53	21	identified	identify	VERB
ajst-30543	53	22	:	:	PUNCT
ajst-30543	53	23	the	the	DET
ajst-30543	53	24	rn、rm	rn、rm	PROPN
ajst-30543	53	25	and	and	CCONJ
ajst-30543	53	26	tau	tau	PROPN
ajst-30543	53	27	of	of	ADP
ajst-30543	53	28	the	the	DET
ajst-30543	53	29	battery	battery	NOUN
ajst-30543	53	30	(	(	PUNCT
ajst-30543	53	31	where	where	SCONJ
ajst-30543	53	32	τ	τ	PROPN
ajst-30543	53	33	=	=	SYM
ajst-30543	53	34	rm	rm	PROPN
ajst-30543	53	35	×	×	PROPN
ajst-30543	53	36	cm	cm	PROPN
ajst-30543	53	37	is	be	AUX
ajst-30543	53	38	the	the	DET
ajst-30543	53	39	time	time	NOUN
ajst-30543	53	40	constant	constant	ADJ
ajst-30543	53	41	)	)	PUNCT
ajst-30543	53	42	,	,	PUNCT
ajst-30543	53	43	and	and	CCONJ
ajst-30543	53	44	the	the	DET
ajst-30543	53	45	rh	rh	PROPN
ajst-30543	53	46	of	of	ADP
ajst-30543	53	47	the	the	DET
ajst-30543	53	48	ultracapacitor	ultracapacitor	NOUN
ajst-30543	53	49	.	.	PUNCT
ajst-30543	54	1	3.2	3.2	NUM
ajst-30543	54	2	.	.	PUNCT
ajst-30543	55	1	intelligent	intelligent	ADJ
ajst-30543	55	2	optimization	optimization	NOUN
ajst-30543	55	3	algorithm	algorithm	NOUN
ajst-30543	55	4	3.2.1	3.2.1	NUM
ajst-30543	55	5	.	.	PUNCT
ajst-30543	56	1	principles	principle	NOUN
ajst-30543	56	2	of	of	ADP
ajst-30543	56	3	the	the	DET
ajst-30543	56	4	grey	grey	ADJ
ajst-30543	56	5	wolf	wolf	PROPN
ajst-30543	56	6	optimizer	optimizer	NOUN
ajst-30543	56	7	grey	grey	PROPN
ajst-30543	56	8	wolf	wolf	PROPN
ajst-30543	56	9	optimizer	optimizer	NOUN
ajst-30543	56	10	(	(	PUNCT
ajst-30543	56	11	gwo	gwo	PROPN
ajst-30543	56	12	)	)	PUNCT
ajst-30543	56	13	is	be	AUX
ajst-30543	56	14	a	a	DET
ajst-30543	56	15	group	group	NOUN
ajst-30543	56	16	intelligence	intelligence	NOUN
ajst-30543	56	17	optimization	optimization	NOUN
ajst-30543	56	18	algorithm	algorithm	NOUN
ajst-30543	56	19	that	that	PRON
ajst-30543	56	20	simulates	simulate	VERB
ajst-30543	56	21	the	the	DET
ajst-30543	56	22	hunting	hunt	VERB
ajst-30543	56	23	behavior	behavior	NOUN
ajst-30543	56	24	of	of	ADP
ajst-30543	56	25	a	a	DET
ajst-30543	56	26	group	group	NOUN
ajst-30543	56	27	of	of	ADP
ajst-30543	56	28	grey	grey	ADJ
ajst-30543	56	29	wolves	wolf	NOUN
ajst-30543	56	30	.	.	PUNCT
ajst-30543	57	1	grey	grey	ADJ
ajst-30543	57	2	wolves	wolf	NOUN
ajst-30543	57	3	have	have	VERB
ajst-30543	57	4	a	a	DET
ajst-30543	57	5	high	high	ADJ
ajst-30543	57	6	degree	degree	NOUN
ajst-30543	57	7	of	of	ADP
ajst-30543	57	8	collaboration	collaboration	NOUN
ajst-30543	57	9	and	and	CCONJ
ajst-30543	57	10	a	a	DET
ajst-30543	57	11	complex	complex	ADJ
ajst-30543	57	12	social	social	ADJ
ajst-30543	57	13	structure	structure	NOUN
ajst-30543	57	14	to	to	PART
ajst-30543	57	15	find	find	VERB
ajst-30543	57	16	food	food	NOUN
ajst-30543	57	17	and	and	CCONJ
ajst-30543	57	18	hunt	hunt	NOUN
ajst-30543	57	19	through	through	ADP
ajst-30543	57	20	group	group	NOUN
ajst-30543	57	21	cooperation	cooperation	NOUN
ajst-30543	57	22	.	.	PUNCT
ajst-30543	58	1	the	the	DET
ajst-30543	58	2	core	core	ADJ
ajst-30543	58	3	idea	idea	NOUN
ajst-30543	58	4	of	of	ADP
ajst-30543	58	5	the	the	DET
ajst-30543	58	6	grey	grey	ADJ
ajst-30543	58	7	wolf	wolf	PROPN
ajst-30543	58	8	optimization	optimization	NOUN
ajst-30543	58	9	algorithm	algorithm	NOUN
ajst-30543	58	10	is	be	AUX
ajst-30543	58	11	to	to	PART
ajst-30543	58	12	perform	perform	VERB
ajst-30543	58	13	global	global	ADJ
ajst-30543	58	14	optimization	optimization	NOUN
ajst-30543	58	15	by	by	ADP
ajst-30543	58	16	simulating	simulate	VERB
ajst-30543	58	17	the	the	DET
ajst-30543	58	18	cooperation	cooperation	NOUN
ajst-30543	58	19	and	and	CCONJ
ajst-30543	58	20	competition	competition	NOUN
ajst-30543	58	21	mechanism	mechanism	NOUN
ajst-30543	58	22	of	of	ADP
ajst-30543	58	23	the	the	DET
ajst-30543	58	24	grey	grey	ADJ
ajst-30543	58	25	wolf	wolf	PROPN
ajst-30543	58	26	group	group	NOUN
ajst-30543	58	27	in	in	ADP
ajst-30543	58	28	the	the	DET
ajst-30543	58	29	process	process	NOUN
ajst-30543	58	30	of	of	ADP
ajst-30543	58	31	finding	find	VERB
ajst-30543	58	32	prey	prey	NOUN
ajst-30543	58	33	.	.	PUNCT
ajst-30543	59	1	in	in	ADP
ajst-30543	59	2	order	order	NOUN
ajst-30543	59	3	to	to	PART
ajst-30543	59	4	accurately	accurately	ADV
ajst-30543	59	5	depict	depict	VERB
ajst-30543	59	6	the	the	DET
ajst-30543	59	7	social	social	ADJ
ajst-30543	59	8	hierarchy	hierarchy	NOUN
ajst-30543	59	9	of	of	ADP
ajst-30543	59	10	grey	grey	ADJ
ajst-30543	59	11	wolves	wolf	NOUN
ajst-30543	59	12	in	in	ADP
ajst-30543	59	13	the	the	DET
ajst-30543	59	14	gwo	gwo	NOUN
ajst-30543	59	15	in	in	ADP
ajst-30543	59	16	the	the	DET
ajst-30543	59	17	mathematical	mathematical	ADJ
ajst-30543	59	18	model	model	NOUN
ajst-30543	59	19	,	,	PUNCT
ajst-30543	59	20	the	the	DET
ajst-30543	59	21	top	top	ADJ
ajst-30543	59	22	three	three	NUM
ajst-30543	59	23	bestperforming	bestperforme	VERB
ajst-30543	59	24	wolves	wolf	NOUN
ajst-30543	59	25	were	be	AUX
ajst-30543	59	26	named	name	VERB
ajst-30543	59	27	α	α	NUM
ajst-30543	59	28	,	,	PUNCT
ajst-30543	59	29	β	β	NOUN
ajst-30543	59	30	,	,	PUNCT
ajst-30543	59	31	and	and	CCONJ
ajst-30543	59	32	δ	δ	PROPN
ajst-30543	59	33	,	,	PUNCT
ajst-30543	59	34	which	which	PRON
ajst-30543	59	35	played	play	VERB
ajst-30543	59	36	the	the	DET
ajst-30543	59	37	role	role	NOUN
ajst-30543	59	38	of	of	ADP
ajst-30543	59	39	leaders	leader	NOUN
ajst-30543	59	40	and	and	CCONJ
ajst-30543	59	41	led	lead	VERB
ajst-30543	59	42	the	the	DET
ajst-30543	59	43	rest	rest	NOUN
ajst-30543	59	44	of	of	ADP
ajst-30543	59	45	the	the	DET
ajst-30543	59	46	pack	pack	NOUN
ajst-30543	59	47	in	in	ADP
ajst-30543	59	48	searching	search	VERB
ajst-30543	59	49	towards	towards	ADP
ajst-30543	59	50	the	the	DET
ajst-30543	59	51	target	target	NOUN
ajst-30543	59	52	area	area	NOUN
ajst-30543	59	53	.	.	PUNCT
ajst-30543	60	1	the	the	DET
ajst-30543	60	2	remaining	remain	VERB
ajst-30543	60	3	wolf	wolf	PROPN
ajst-30543	60	4	pack	pack	NOUN
ajst-30543	60	5	members	member	NOUN
ajst-30543	60	6	,	,	PUNCT
ajst-30543	60	7	on	on	ADP
ajst-30543	60	8	the	the	DET
ajst-30543	60	9	other	other	ADJ
ajst-30543	60	10	hand	hand	NOUN
ajst-30543	60	11	,	,	PUNCT
ajst-30543	60	12	are	be	AUX
ajst-30543	60	13	uniformly	uniformly	ADV
ajst-30543	60	14	categorized	categorize	VERB
ajst-30543	60	15	as	as	ADP
ajst-30543	60	16	ω	ω	NUM
ajst-30543	60	17	,	,	PUNCT
ajst-30543	60	18	and	and	CCONJ
ajst-30543	60	19	they	they	PRON
ajst-30543	60	20	update	update	VERB
ajst-30543	60	21	their	their	PRON
ajst-30543	60	22	positions	position	NOUN
ajst-30543	60	23	based	base	VERB
ajst-30543	60	24	on	on	ADP
ajst-30543	60	25	α	α	PROPN
ajst-30543	60	26	,	,	PUNCT
ajst-30543	60	27	β	β	NOUN
ajst-30543	60	28	,	,	PUNCT
ajst-30543	60	29	or	or	CCONJ
ajst-30543	60	30	δ	δ	PROPN
ajst-30543	60	31	positional	positional	ADJ
ajst-30543	60	32	information	information	NOUN
ajst-30543	60	33	to	to	PART
ajst-30543	60	34	enable	enable	VERB
ajst-30543	60	35	more	more	ADV
ajst-30543	60	36	efficient	efficient	ADJ
ajst-30543	60	37	exploration	exploration	NOUN
ajst-30543	60	38	of	of	ADP
ajst-30543	60	39	the	the	DET
ajst-30543	60	40	search	search	NOUN
ajst-30543	60	41	space	space	NOUN
ajst-30543	60	42	.	.	PUNCT
ajst-30543	61	1	after	after	ADP
ajst-30543	61	2	each	each	DET
ajst-30543	61	3	iteration	iteration	NOUN
ajst-30543	61	4	,	,	PUNCT
ajst-30543	61	5	each	each	DET
ajst-30543	61	6	wolf	wolf	NOUN
ajst-30543	61	7	in	in	ADP
ajst-30543	61	8	the	the	DET
ajst-30543	61	9	pack	pack	NOUN
ajst-30543	61	10	calculates	calculate	VERB
ajst-30543	61	11	its	its	PRON
ajst-30543	61	12	fitness	fitness	NOUN
ajst-30543	61	13	function	function	NOUN
ajst-30543	61	14	value	value	NOUN
ajst-30543	61	15	and	and	CCONJ
ajst-30543	61	16	compares	compare	VERB
ajst-30543	61	17	it	it	PRON
ajst-30543	61	18	to	to	ADP
ajst-30543	61	19	the	the	DET
ajst-30543	61	20	current	current	ADJ
ajst-30543	61	21	optimal	optimal	ADJ
ajst-30543	61	22	solution	solution	NOUN
ajst-30543	61	23	.	.	PUNCT
ajst-30543	62	1	in	in	ADP
ajst-30543	62	2	the	the	DET
ajst-30543	62	3	process	process	NOUN
ajst-30543	62	4	of	of	ADP
ajst-30543	62	5	ev	ev	ADP
ajst-30543	62	6	parameter	parameter	NOUN
ajst-30543	62	7	identification	identification	NOUN
ajst-30543	62	8	,	,	PUNCT
ajst-30543	62	9	the	the	DET
ajst-30543	62	10	gwo	gwo	NOUN
ajst-30543	62	11	can	can	AUX
ajst-30543	62	12	effectively	effectively	ADV
ajst-30543	62	13	adjust	adjust	VERB
ajst-30543	62	14	and	and	CCONJ
ajst-30543	62	15	optimize	optimize	VERB
ajst-30543	62	16	the	the	DET
ajst-30543	62	17	model	model	NOUN
ajst-30543	62	18	parameters	parameter	NOUN
ajst-30543	62	19	of	of	ADP
ajst-30543	62	20	the	the	DET
ajst-30543	62	21	battery	battery	NOUN
ajst-30543	62	22	and	and	CCONJ
ajst-30543	62	23	ultracapacitor	ultracapacitor	NOUN
ajst-30543	62	24	to	to	PART
ajst-30543	62	25	improve	improve	VERB
ajst-30543	62	26	the	the	DET
ajst-30543	62	27	performance	performance	NOUN
ajst-30543	62	28	and	and	CCONJ
ajst-30543	62	29	accuracy	accuracy	NOUN
ajst-30543	62	30	of	of	ADP
ajst-30543	62	31	the	the	DET
ajst-30543	62	32	ev	ev	ADJ
ajst-30543	62	33	system	system	NOUN
ajst-30543	62	34	.	.	PUNCT
ajst-30543	63	1	the	the	DET
ajst-30543	63	2	distance	distance	NOUN
ajst-30543	63	3	between	between	ADP
ajst-30543	63	4	each	each	DET
ajst-30543	63	5	wolf	wolf	NOUN
ajst-30543	63	6	and	and	CCONJ
ajst-30543	63	7	the	the	DET
ajst-30543	63	8	current	current	ADJ
ajst-30543	63	9	optimal	optimal	ADJ
ajst-30543	63	10	wolf	wolf	NOUN
ajst-30543	63	11	position	position	NOUN
ajst-30543	63	12	is	be	AUX
ajst-30543	63	13	shown	show	VERB
ajst-30543	63	14	in	in	ADP
ajst-30543	63	15	eq	eq	ADP
ajst-30543	63	16	.	.	PUNCT
ajst-30543	64	1	(	(	PUNCT
ajst-30543	64	2	3	3	NUM
ajst-30543	64	3	):	):	PUNCT
ajst-30543	64	4			PROPN
ajst-30543	64	5			SYM
ajst-30543	64	6			NOUN
ajst-30543	64	7	i	i	PROPN
ajst-30543	64	8	p	p	NOUN
ajst-30543	65	1	i	i	PROPN
ajst-30543	65	2	d	d	PROPN
ajst-30543	65	3	c	c	PROPN
ajst-30543	65	4	x	x	SYM
ajst-30543	65	5	t	t	NOUN
ajst-30543	65	6	x	x	SYM
ajst-30543	65	7	t	t	NOUN
ajst-30543	65	8			PUNCT
ajst-30543	65	9			NOUN
ajst-30543	65	10			NOUN
ajst-30543	65	11			VERB
ajst-30543	66	1			NUM
ajst-30543	66	2			ADJ
ajst-30543	66	3	(	(	PUNCT
ajst-30543	66	4	2	2	NUM
ajst-30543	66	5	)	)	PUNCT
ajst-30543	66	6	where	where	SCONJ
ajst-30543	66	7	i	i	PRON
ajst-30543	66	8	d	d	PROPN
ajst-30543	66	9			PUNCT
ajst-30543	66	10	represents	represent	VERB
ajst-30543	66	11	the	the	DET
ajst-30543	66	12	current	current	ADJ
ajst-30543	66	13	displacement	displacement	ADJ
ajst-30543	66	14	vector	vector	NOUN
ajst-30543	66	15	of	of	ADP
ajst-30543	66	16	the	the	DET
ajst-30543	66	17	ith	ith	PROPN
ajst-30543	66	18	wolf	wolf	NOUN
ajst-30543	66	19	.	.	PUNCT
ajst-30543	67	1	c	c	NOUN
ajst-30543	67	2			PUNCT
ajst-30543	67	3	is	be	AUX
ajst-30543	67	4	an	an	DET
ajst-30543	67	5	adjustment	adjustment	NOUN
ajst-30543	67	6	factor	factor	NOUN
ajst-30543	67	7	that	that	PRON
ajst-30543	67	8	controls	control	VERB
ajst-30543	67	9	the	the	DET
ajst-30543	67	10	direction	direction	NOUN
ajst-30543	67	11	of	of	ADP
ajst-30543	67	12	the	the	DET
ajst-30543	67	13	search	search	NOUN
ajst-30543	67	14	.	.	PUNCT
ajst-30543	68	1			NOUN
ajst-30543	68	2	px	px	NUM
ajst-30543	69	1	t	t	PROPN
ajst-30543	69	2			PUNCT
ajst-30543	69	3	is	be	AUX
ajst-30543	69	4	the	the	DET
ajst-30543	69	5	location	location	NOUN
ajst-30543	69	6	information	information	NOUN
ajst-30543	69	7	of	of	ADP
ajst-30543	69	8	the	the	DET
ajst-30543	69	9	optimal	optimal	ADJ
ajst-30543	69	10	solution	solution	NOUN
ajst-30543	69	11	in	in	ADP
ajst-30543	69	12	the	the	DET
ajst-30543	69	13	current	current	ADJ
ajst-30543	69	14	iteration	iteration	NOUN
ajst-30543	69	15	.	.	PUNCT
ajst-30543	70	1			NOUN
ajst-30543	70	2	ix	ix	ADP
ajst-30543	70	3	t	t	PROPN
ajst-30543	70	4			PUNCT
ajst-30543	70	5	is	be	AUX
ajst-30543	70	6	the	the	DET
ajst-30543	70	7	current	current	ADJ
ajst-30543	70	8	location	location	NOUN
ajst-30543	70	9	information	information	NOUN
ajst-30543	70	10	of	of	ADP
ajst-30543	70	11	the	the	DET
ajst-30543	70	12	ith	ith	PROPN
ajst-30543	70	13	wolf	wolf	PROPN
ajst-30543	70	14	.	.	PUNCT
ajst-30543	71	1	based	base	VERB
ajst-30543	71	2	on	on	ADP
ajst-30543	71	3	the	the	DET
ajst-30543	71	4	above	above	ADJ
ajst-30543	71	5	distance	distance	NOUN
ajst-30543	71	6	calculation	calculation	NOUN
ajst-30543	71	7	,	,	PUNCT
ajst-30543	71	8	the	the	DET
ajst-30543	71	9	grey	grey	ADJ
ajst-30543	71	10	wolf	wolf	NOUN
ajst-30543	71	11	's	's	PART
ajst-30543	71	12	position	position	NOUN
ajst-30543	71	13	update	update	NOUN
ajst-30543	71	14	formula	formula	NOUN
ajst-30543	71	15	is	be	AUX
ajst-30543	71	16	shown	show	VERB
ajst-30543	71	17	in	in	ADP
ajst-30543	71	18	eq	eq	ADP
ajst-30543	71	19	.	.	PUNCT
ajst-30543	72	1	(	(	PUNCT
ajst-30543	72	2	4	4	NUM
ajst-30543	72	3	):	):	PUNCT
ajst-30543	72	4			PROPN
ajst-30543	72	5	1	1	NOUN
ajst-30543	72	6	(	(	PUNCT
ajst-30543	72	7	)	)	PUNCT
ajst-30543	73	1	i	i	PRON
ajst-30543	73	2	ix	ix	PROPN
ajst-30543	74	1	t	t	PROPN
ajst-30543	74	2	x	x	X
ajst-30543	74	3	t	t	PROPN
ajst-30543	74	4	a	a	DET
ajst-30543	74	5	d	d	NOUN
ajst-30543	74	6			NOUN
ajst-30543	74	7			NOUN
ajst-30543	74	8			NOUN
ajst-30543	75	1			NOUN
ajst-30543	75	2			VERB
ajst-30543	75	3			PROPN
ajst-30543	75	4			PROPN
ajst-30543	75	5			NUM
ajst-30543	75	6	(	(	PUNCT
ajst-30543	75	7	3	3	NUM
ajst-30543	75	8	)	)	PUNCT
ajst-30543	75	9	where	where	SCONJ
ajst-30543	75	10			PROPN
ajst-30543	75	11	1ix	1ix	PUNCT
ajst-30543	75	12	t	t	PROPN
ajst-30543	75	13			PROPN
ajst-30543	75	14			VERB
ajst-30543	75	15	denote	denote	VERB
ajst-30543	75	16	the	the	DET
ajst-30543	75	17	position	position	NOUN
ajst-30543	75	18	of	of	ADP
ajst-30543	75	19	the	the	DET
ajst-30543	75	20	ith	ith	PROPN
ajst-30543	75	21	wolf	wolf	NOUN
ajst-30543	75	22	in	in	ADP
ajst-30543	75	23	the	the	DET
ajst-30543	75	24	t+1st	t+1st	PROPN
ajst-30543	75	25	iteration	iteration	NOUN
ajst-30543	75	26	.	.	PUNCT
ajst-30543	76	1	(	(	PUNCT
ajst-30543	76	2	)	)	PUNCT
ajst-30543	76	3	ix	ix	ADP
ajst-30543	76	4	t	t	PROPN
ajst-30543	76	5			PROPN
ajst-30543	76	6	represent	represent	VERB
ajst-30543	76	7	the	the	DET
ajst-30543	76	8	position	position	NOUN
ajst-30543	76	9	of	of	ADP
ajst-30543	76	10	the	the	DET
ajst-30543	76	11	ith	ith	PROPN
ajst-30543	76	12	wolf	wolf	NOUN
ajst-30543	76	13	in	in	ADP
ajst-30543	76	14	the	the	DET
ajst-30543	76	15	t	t	PROPN
ajst-30543	76	16	iteration	iteration	NOUN
ajst-30543	76	17	.	.	PUNCT
ajst-30543	77	1	the	the	DET
ajst-30543	77	2	two	two	NUM
ajst-30543	77	3	coefficients	coefficient	NOUN
ajst-30543	77	4	,	,	PUNCT
ajst-30543	77	5	a	a	DET
ajst-30543	77	6			NOUN
ajst-30543	77	7	and	and	CCONJ
ajst-30543	77	8	d	d	PROPN
ajst-30543	77	9			PROPN
ajst-30543	77	10	,	,	PUNCT
ajst-30543	77	11	are	be	AUX
ajst-30543	77	12	used	use	VERB
ajst-30543	77	13	to	to	PART
ajst-30543	77	14	regulate	regulate	VERB
ajst-30543	77	15	the	the	DET
ajst-30543	77	16	behavior	behavior	NOUN
ajst-30543	77	17	of	of	ADP
ajst-30543	77	18	the	the	DET
ajst-30543	77	19	grey	grey	ADJ
ajst-30543	77	20	wolf	wolf	NOUN
ajst-30543	77	21	and	and	CCONJ
ajst-30543	77	22	the	the	DET
ajst-30543	77	23	search	search	NOUN
ajst-30543	77	24	process	process	NOUN
ajst-30543	77	25	,	,	PUNCT
ajst-30543	77	26	as	as	SCONJ
ajst-30543	77	27	defined	define	VERB
ajst-30543	77	28	in	in	ADP
ajst-30543	77	29	eqs	eqs	PROPN
ajst-30543	77	30	.	.	PUNCT
ajst-30543	78	1	(	(	PUNCT
ajst-30543	78	2	5	5	NUM
ajst-30543	78	3	)	)	PUNCT
ajst-30543	78	4	and	and	CCONJ
ajst-30543	78	5	(	(	PUNCT
ajst-30543	78	6	6	6	NUM
ajst-30543	78	7	):	):	PUNCT
ajst-30543	78	8	12a	12a	NOUN
ajst-30543	78	9	a	a	DET
ajst-30543	78	10	r	r	NOUN
ajst-30543	78	11	a	a	DET
ajst-30543	78	12			NOUN
ajst-30543	78	13			NOUN
ajst-30543	78	14			NOUN
ajst-30543	78	15			VERB
ajst-30543	79	1			NUM
ajst-30543	79	2			ADJ
ajst-30543	79	3			ADJ
ajst-30543	79	4			NOUN
ajst-30543	79	5	(	(	PUNCT
ajst-30543	79	6	4	4	NUM
ajst-30543	79	7	)	)	PUNCT
ajst-30543	79	8	22c	22c	NOUN
ajst-30543	79	9	r	r	NOUN
ajst-30543	79	10			NOUN
ajst-30543	79	11			VERB
ajst-30543	80	1			NUM
ajst-30543	80	2			NUM
ajst-30543	80	3	(	(	PUNCT
ajst-30543	80	4	5	5	NUM
ajst-30543	80	5	)	)	PUNCT
ajst-30543	80	6	where	where	SCONJ
ajst-30543	80	7	1r	1r	ADJ
ajst-30543	80	8			NOUN
ajst-30543	80	9	and	and	CCONJ
ajst-30543	80	10	2r	2r	NUM
ajst-30543	80	11			NOUN
ajst-30543	80	12	are	be	AUX
ajst-30543	80	13	randomly	randomly	ADV
ajst-30543	80	14	generated	generate	VERB
ajst-30543	80	15	numbers	number	NOUN
ajst-30543	80	16	in	in	ADP
ajst-30543	80	17	the	the	DET
ajst-30543	80	18	interval	interval	NOUN
ajst-30543	80	19	[	[	X
ajst-30543	80	20	0	0	NUM
ajst-30543	80	21	,	,	PUNCT
ajst-30543	80	22	1	1	NUM
ajst-30543	80	23	]	]	PUNCT
ajst-30543	80	24	.	.	PUNCT
ajst-30543	81	1	a	a	DET
ajst-30543	81	2			PROPN
ajst-30543	81	3	denote	denote	VERB
ajst-30543	81	4	a	a	DET
ajst-30543	81	5	constant	constant	ADJ
ajst-30543	81	6	that	that	SCONJ
ajst-30543	81	7	decays	decay	VERB
ajst-30543	81	8	linearly	linearly	ADV
ajst-30543	81	9	from	from	ADP
ajst-30543	81	10	170	170	NUM
ajst-30543	81	11	2	2	NUM
ajst-30543	81	12	,	,	PUNCT
ajst-30543	81	13	decreasing	decrease	VERB
ajst-30543	81	14	with	with	ADP
ajst-30543	81	15	the	the	DET
ajst-30543	81	16	number	number	NOUN
ajst-30543	81	17	of	of	ADP
ajst-30543	81	18	iterations	iteration	NOUN
ajst-30543	81	19	,	,	PUNCT
ajst-30543	81	20	and	and	CCONJ
ajst-30543	81	21	controls	control	VERB
ajst-30543	81	22	the	the	DET
ajst-30543	81	23	transition	transition	NOUN
ajst-30543	81	24	between	between	ADP
ajst-30543	81	25	the	the	DET
ajst-30543	81	26	exploration	exploration	NOUN
ajst-30543	81	27	and	and	CCONJ
ajst-30543	81	28	development	development	NOUN
ajst-30543	81	29	phases	phase	NOUN
ajst-30543	81	30	.	.	PUNCT
ajst-30543	82	1	3.2.2	3.2.2	X
ajst-30543	82	2	.	.	PUNCT
ajst-30543	83	1	principles	principle	NOUN
ajst-30543	83	2	of	of	ADP
ajst-30543	83	3	particle	particle	NOUN
ajst-30543	83	4	swarm	swarm	NOUN
ajst-30543	83	5	algorithm	algorithm	NOUN
ajst-30543	83	6	as	as	ADP
ajst-30543	83	7	a	a	DET
ajst-30543	83	8	collective	collective	ADJ
ajst-30543	83	9	intelligence	intelligence	NOUN
ajst-30543	83	10	optimization	optimization	NOUN
ajst-30543	83	11	strategy	strategy	NOUN
ajst-30543	83	12	,	,	PUNCT
ajst-30543	83	13	the	the	DET
ajst-30543	83	14	core	core	NOUN
ajst-30543	83	15	concept	concept	NOUN
ajst-30543	83	16	of	of	ADP
ajst-30543	83	17	the	the	DET
ajst-30543	83	18	particle	particle	NOUN
ajst-30543	83	19	swarm	swarm	NOUN
ajst-30543	83	20	optimization	optimization	NOUN
ajst-30543	83	21	(	(	PUNCT
ajst-30543	83	22	pso	pso	NOUN
ajst-30543	83	23	)	)	PUNCT
ajst-30543	83	24	algorithm	algorithm	NOUN
ajst-30543	83	25	originates	originate	NOUN
ajst-30543	83	26	from	from	ADP
ajst-30543	83	27	a	a	DET
ajst-30543	83	28	profound	profound	ADJ
ajst-30543	83	29	observation	observation	NOUN
ajst-30543	83	30	and	and	CCONJ
ajst-30543	83	31	simulation	simulation	NOUN
ajst-30543	83	32	of	of	ADP
ajst-30543	83	33	birds	bird	NOUN
ajst-30543	83	34	'	'	PART
ajst-30543	83	35	foraging	forage	VERB
ajst-30543	83	36	behavior	behavior	NOUN
ajst-30543	83	37	in	in	ADP
ajst-30543	83	38	nature	nature	NOUN
ajst-30543	83	39	.	.	PUNCT
ajst-30543	84	1	within	within	ADP
ajst-30543	84	2	the	the	DET
ajst-30543	84	3	framework	framework	NOUN
ajst-30543	84	4	of	of	ADP
ajst-30543	84	5	this	this	DET
ajst-30543	84	6	algorithm	algorithm	NOUN
ajst-30543	84	7	,	,	PUNCT
ajst-30543	84	8	each	each	DET
ajst-30543	84	9	potential	potential	ADJ
ajst-30543	84	10	solution	solution	NOUN
ajst-30543	84	11	is	be	AUX
ajst-30543	84	12	cleverly	cleverly	ADV
ajst-30543	84	13	compared	compare	VERB
ajst-30543	84	14	as	as	ADP
ajst-30543	84	15	a	a	DET
ajst-30543	84	16	"	"	PUNCT
ajst-30543	84	17	particle	particle	NOUN
ajst-30543	84	18	"	"	PUNCT
ajst-30543	84	19	or	or	CCONJ
ajst-30543	84	20	a	a	DET
ajst-30543	84	21	"	"	PUNCT
ajst-30543	84	22	bird	bird	NOUN
ajst-30543	84	23	"	"	PUNCT
ajst-30543	84	24	soaring	soar	VERB
ajst-30543	84	25	in	in	ADP
ajst-30543	84	26	the	the	DET
ajst-30543	84	27	search	search	NOUN
ajst-30543	84	28	space	space	NOUN
ajst-30543	84	29	.	.	PUNCT
ajst-30543	85	1	these	these	DET
ajst-30543	85	2	particles	particle	NOUN
ajst-30543	85	3	fly	fly	VERB
ajst-30543	85	4	freely	freely	ADV
ajst-30543	85	5	over	over	ADP
ajst-30543	85	6	a	a	DET
ajst-30543	85	7	vast	vast	ADJ
ajst-30543	85	8	search	search	NOUN
ajst-30543	85	9	field	field	NOUN
ajst-30543	85	10	,	,	PUNCT
ajst-30543	85	11	collaboratively	collaboratively	ADV
ajst-30543	85	12	exploring	explore	VERB
ajst-30543	85	13	and	and	CCONJ
ajst-30543	85	14	converging	converge	VERB
ajst-30543	85	15	toward	toward	ADP
ajst-30543	85	16	globally	globally	ADV
ajst-30543	85	17	optimal	optimal	ADJ
ajst-30543	85	18	solutions	solution	NOUN
ajst-30543	85	19	by	by	ADP
ajst-30543	85	20	exchanging	exchange	VERB
ajst-30543	85	21	and	and	CCONJ
ajst-30543	85	22	sharing	share	VERB
ajst-30543	85	23	information	information	NOUN
ajst-30543	85	24	.	.	PUNCT
ajst-30543	86	1	during	during	ADP
ajst-30543	86	2	the	the	DET
ajst-30543	86	3	iterative	iterative	NOUN
ajst-30543	86	4	process	process	NOUN
ajst-30543	86	5	,	,	PUNCT
ajst-30543	86	6	each	each	DET
ajst-30543	86	7	particle	particle	NOUN
ajst-30543	86	8	dynamically	dynamically	ADV
ajst-30543	86	9	adjusts	adjust	VERB
ajst-30543	86	10	its	its	PRON
ajst-30543	86	11	own	own	ADJ
ajst-30543	86	12	flight	flight	NOUN
ajst-30543	86	13	speed	speed	NOUN
ajst-30543	86	14	and	and	CCONJ
ajst-30543	86	15	spatial	spatial	ADJ
ajst-30543	86	16	position	position	NOUN
ajst-30543	86	17	based	base	VERB
ajst-30543	86	18	on	on	ADP
ajst-30543	86	19	its	its	PRON
ajst-30543	86	20	individual	individual	ADJ
ajst-30543	86	21	historical	historical	ADJ
ajst-30543	86	22	best	good	ADJ
ajst-30543	86	23	position	position	NOUN
ajst-30543	86	24	(	(	PUNCT
ajst-30543	86	25	pbest	pbest	NOUN
ajst-30543	86	26	)	)	PUNCT
ajst-30543	86	27	and	and	CCONJ
ajst-30543	86	28	the	the	DET
ajst-30543	86	29	global	global	ADJ
ajst-30543	86	30	best	good	ADJ
ajst-30543	86	31	position	position	NOUN
ajst-30543	86	32	(	(	PUNCT
ajst-30543	86	33	gbest	gbest	NOUN
ajst-30543	86	34	)	)	PUNCT
ajst-30543	86	35	discovered	discover	VERB
ajst-30543	86	36	by	by	ADP
ajst-30543	86	37	the	the	DET
ajst-30543	86	38	entire	entire	ADJ
ajst-30543	86	39	swarm	swarm	NOUN
ajst-30543	86	40	to	to	ADP
ajst-30543	86	41	date	date	NOUN
ajst-30543	86	42	.	.	PUNCT
ajst-30543	87	1	while	while	SCONJ
ajst-30543	87	2	the	the	DET
ajst-30543	87	3	individual	individual	ADJ
ajst-30543	87	4	extreme	extreme	ADJ
ajst-30543	87	5	value	value	NOUN
ajst-30543	87	6	pbest	pbest	NOUN
ajst-30543	87	7	reflects	reflect	VERB
ajst-30543	87	8	the	the	DET
ajst-30543	87	9	accumulated	accumulate	VERB
ajst-30543	87	10	experience	experience	NOUN
ajst-30543	87	11	of	of	ADP
ajst-30543	87	12	a	a	DET
ajst-30543	87	13	single	single	ADJ
ajst-30543	87	14	particle	particle	NOUN
ajst-30543	87	15	,	,	PUNCT
ajst-30543	87	16	the	the	DET
ajst-30543	87	17	global	global	ADJ
ajst-30543	87	18	extreme	extreme	ADJ
ajst-30543	87	19	value	value	NOUN
ajst-30543	87	20	gbest	gbest	NOUN
ajst-30543	87	21	is	be	AUX
ajst-30543	87	22	the	the	DET
ajst-30543	87	23	culmination	culmination	NOUN
ajst-30543	87	24	of	of	ADP
ajst-30543	87	25	group	group	NOUN
ajst-30543	87	26	wisdom	wisdom	NOUN
ajst-30543	87	27	.	.	PUNCT
ajst-30543	88	1	the	the	DET
ajst-30543	88	2	particles	particle	NOUN
ajst-30543	88	3	can	can	AUX
ajst-30543	88	4	efficiently	efficiently	ADV
ajst-30543	88	5	utilize	utilize	VERB
ajst-30543	88	6	their	their	PRON
ajst-30543	88	7	collective	collective	ADJ
ajst-30543	88	8	intelligence	intelligence	NOUN
ajst-30543	88	9	to	to	PART
ajst-30543	88	10	accelerate	accelerate	VERB
ajst-30543	88	11	the	the	DET
ajst-30543	88	12	convergence	convergence	NOUN
ajst-30543	88	13	process	process	NOUN
ajst-30543	88	14	of	of	ADP
ajst-30543	88	15	the	the	DET
ajst-30543	88	16	optimal	optimal	ADJ
ajst-30543	88	17	solution	solution	NOUN
ajst-30543	88	18	through	through	ADP
ajst-30543	88	19	this	this	DET
ajst-30543	88	20	information	information	NOUN
ajst-30543	88	21	-	-	PUNCT
ajst-30543	88	22	sharing	sharing	NOUN
ajst-30543	88	23	mechanism	mechanism	NOUN
ajst-30543	88	24	.	.	PUNCT
ajst-30543	89	1	the	the	DET
ajst-30543	89	2	formulas	formula	NOUN
ajst-30543	89	3	for	for	ADP
ajst-30543	89	4	updating	update	VERB
ajst-30543	89	5	the	the	DET
ajst-30543	89	6	velocity	velocity	NOUN
ajst-30543	89	7	and	and	CCONJ
ajst-30543	89	8	position	position	NOUN
ajst-30543	89	9	of	of	ADP
ajst-30543	89	10	the	the	DET
ajst-30543	89	11	particles	particle	NOUN
ajst-30543	89	12	are	be	AUX
ajst-30543	89	13	shown	show	VERB
ajst-30543	89	14	in	in	ADP
ajst-30543	89	15	eqs	eqs	PROPN
ajst-30543	89	16	.	.	PUNCT
ajst-30543	90	1	(	(	PUNCT
ajst-30543	90	2	7	7	NUM
ajst-30543	90	3	)	)	PUNCT
ajst-30543	90	4	and	and	CCONJ
ajst-30543	90	5	(	(	PUNCT
ajst-30543	90	6	8)	8)	NUM
ajst-30543	90	7	,	,	PUNCT
ajst-30543	90	8	which	which	PRON
ajst-30543	90	9	enable	enable	VERB
ajst-30543	90	10	the	the	DET
ajst-30543	90	11	particles	particle	NOUN
ajst-30543	90	12	to	to	PART
ajst-30543	90	13	navigate	navigate	VERB
ajst-30543	90	14	flexibly	flexibly	ADV
ajst-30543	90	15	in	in	ADP
ajst-30543	90	16	the	the	DET
ajst-30543	90	17	complex	complex	ADJ
ajst-30543	90	18	search	search	NOUN
ajst-30543	90	19	space	space	NOUN
ajst-30543	90	20	and	and	CCONJ
ajst-30543	90	21	approach	approach	VERB
ajst-30543	90	22	the	the	DET
ajst-30543	90	23	optimal	optimal	ADJ
ajst-30543	90	24	solution	solution	NOUN
ajst-30543	90	25	step	step	NOUN
ajst-30543	90	26	by	by	ADP
ajst-30543	90	27	step	step	NOUN
ajst-30543	90	28	.	.	PUNCT
ajst-30543	91	1			NOUN
ajst-30543	92	1			PUNCT
ajst-30543	92	2			NOUN
ajst-30543	92	3			NOUN
ajst-30543	92	4	1	1	NUM
ajst-30543	92	5	1	1	NUM
ajst-30543	92	6	2	2	NUM
ajst-30543	92	7	2	2	NUM
ajst-30543	92	8	(	(	PUNCT
ajst-30543	92	9	)	)	PUNCT
ajst-30543	92	10	(	(	PUNCT
ajst-30543	92	11	)	)	PUNCT
ajst-30543	92	12	best	good	ADJ
ajst-30543	93	1	i	i	PRON
ajst-30543	93	2	best	good	ADJ
ajst-30543	94	1	i	i	INTJ
ajst-30543	94	2	i	i	PRON
ajst-30543	95	1	i	i	PRON
ajst-30543	95	2	i	i	PRON
ajst-30543	95	3	iv	iv	VERB
ajst-30543	95	4	v	v	ADP
ajst-30543	95	5	w	w	NOUN
ajst-30543	95	6	c	c	NOUN
ajst-30543	95	7	r	r	NOUN
ajst-30543	95	8	p	p	NOUN
ajst-30543	95	9	x	x	X
ajst-30543	95	10	c	c	NOUN
ajst-30543	95	11	r	r	NOUN
ajst-30543	95	12	g	g	PROPN
ajst-30543	95	13	x	x	PROPN
ajst-30543	95	14			PUNCT
ajst-30543	96	1			PROPN
ajst-30543	96	2			VERB
ajst-30543	96	3			NOUN
ajst-30543	96	4	(	(	PUNCT
ajst-30543	96	5	6	6	NUM
ajst-30543	96	6	)	)	PUNCT
ajst-30543	96	7			NOUN
ajst-30543	97	1			SYM
ajst-30543	97	2			NOUN
ajst-30543	97	3			SYM
ajst-30543	97	4			NOUN
ajst-30543	97	5	x	x	PUNCT
ajst-30543	98	1	i	i	PRON
ajst-30543	98	2	x	x	VERB
ajst-30543	99	1	i	i	PRON
ajst-30543	99	2	v	v	NUM
ajst-30543	99	3	i	i	NOUN
ajst-30543	99	4			X
ajst-30543	99	5	(	(	PUNCT
ajst-30543	99	6	7	7	NUM
ajst-30543	99	7	)	)	PUNCT
ajst-30543	99	8	where	where	SCONJ
ajst-30543	99	9	iv	iv	NUM
ajst-30543	99	10	denotes	denote	VERB
ajst-30543	99	11	the	the	DET
ajst-30543	99	12	current	current	ADJ
ajst-30543	99	13	velocity	velocity	NOUN
ajst-30543	99	14	of	of	ADP
ajst-30543	99	15	particle	particle	NOUN
ajst-30543	99	16	i.	i.	PROPN
ajst-30543	99	17	1r	1r	PROPN
ajst-30543	99	18	and	and	CCONJ
ajst-30543	99	19	2r	2r	NUM
ajst-30543	99	20	are	be	AUX
ajst-30543	99	21	two	two	NUM
ajst-30543	99	22	random	random	ADJ
ajst-30543	99	23	numbers	number	NOUN
ajst-30543	99	24	in	in	ADP
ajst-30543	99	25	the	the	DET
ajst-30543	99	26	range	range	NOUN
ajst-30543	99	27	[	[	X
ajst-30543	99	28	0	0	NUM
ajst-30543	99	29	,	,	PUNCT
ajst-30543	99	30	1	1	NUM
ajst-30543	99	31	]	]	PUNCT
ajst-30543	99	32	used	use	VERB
ajst-30543	99	33	to	to	PART
ajst-30543	99	34	increase	increase	VERB
ajst-30543	99	35	the	the	DET
ajst-30543	99	36	randomness	randomness	NOUN
ajst-30543	99	37	of	of	ADP
ajst-30543	99	38	the	the	DET
ajst-30543	99	39	search	search	NOUN
ajst-30543	99	40	;	;	PUNCT
ajst-30543	99	41	1c	1c	NUM
ajst-30543	99	42	and	and	CCONJ
ajst-30543	99	43	2c	2c	NOUN
ajst-30543	99	44	are	be	AUX
ajst-30543	99	45	the	the	DET
ajst-30543	99	46	individual	individual	ADJ
ajst-30543	99	47	particle	particle	NOUN
ajst-30543	99	48	learning	learning	NOUN
ajst-30543	99	49	factors	factor	NOUN
ajst-30543	99	50	,	,	PUNCT
ajst-30543	99	51	also	also	ADV
ajst-30543	99	52	known	know	VERB
ajst-30543	99	53	as	as	ADP
ajst-30543	99	54	acceleration	acceleration	NOUN
ajst-30543	99	55	constants	constant	NOUN
ajst-30543	99	56	,	,	PUNCT
ajst-30543	99	57	which	which	PRON
ajst-30543	99	58	reflect	reflect	VERB
ajst-30543	99	59	the	the	DET
ajst-30543	99	60	extent	extent	NOUN
ajst-30543	99	61	to	to	ADP
ajst-30543	99	62	a	a	DET
ajst-30543	99	63	particle	particle	NOUN
ajst-30543	99	64	learns	learn	VERB
ajst-30543	99	65	from	from	ADP
ajst-30543	99	66	its	its	PRON
ajst-30543	99	67	own	own	ADJ
ajst-30543	99	68	and	and	CCONJ
ajst-30543	99	69	the	the	DET
ajst-30543	99	70	population	population	NOUN
ajst-30543	99	71	's	's	PART
ajst-30543	99	72	historically	historically	ADV
ajst-30543	99	73	optimal	optimal	ADJ
ajst-30543	99	74	positions	position	NOUN
ajst-30543	99	75	,	,	PUNCT
ajst-30543	99	76	respectively	respectively	ADV
ajst-30543	99	77	;	;	PUNCT
ajst-30543	99	78			PROPN
ajst-30543	99	79	best	b	ADJ
ajst-30543	99	80	ig	ig	PROPN
ajst-30543	99	81	denotes	denote	VERB
ajst-30543	99	82	the	the	DET
ajst-30543	99	83	individual	individual	ADJ
ajst-30543	99	84	historical	historical	ADJ
ajst-30543	99	85	optimal	optimal	ADJ
ajst-30543	99	86	position	position	NOUN
ajst-30543	99	87	of	of	ADP
ajst-30543	99	88	particle	particle	NOUN
ajst-30543	99	89	i	i	PRON
ajst-30543	99	90	;	;	PUNCT
ajst-30543	99	91			PROPN
ajst-30543	99	92	x	x	NUM
ajst-30543	99	93	i	i	PRON
ajst-30543	99	94	represents	represent	VERB
ajst-30543	99	95	the	the	DET
ajst-30543	99	96	current	current	ADJ
ajst-30543	99	97	position	position	NOUN
ajst-30543	99	98	of	of	ADP
ajst-30543	99	99	particle	particle	NOUN
ajst-30543	99	100	i	i	PRON
ajst-30543	99	101	;	;	PUNCT
ajst-30543	99	102			PROPN
ajst-30543	99	103	x	x	NUM
ajst-30543	99	104	i	i	PRON
ajst-30543	99	105	represents	represent	VERB
ajst-30543	99	106	the	the	DET
ajst-30543	99	107	updated	update	VERB
ajst-30543	99	108	velocity	velocity	NOUN
ajst-30543	99	109	of	of	ADP
ajst-30543	99	110	particle	particle	NOUN
ajst-30543	99	111	i.	i.	PROPN
ajst-30543	99	112	w	w	PROPN
ajst-30543	99	113	is	be	AUX
ajst-30543	99	114	the	the	DET
ajst-30543	99	115	inertia	inertia	NOUN
ajst-30543	99	116	factor	factor	NOUN
ajst-30543	99	117	,	,	PUNCT
ajst-30543	99	118	representing	represent	VERB
ajst-30543	99	119	the	the	DET
ajst-30543	99	120	degree	degree	NOUN
ajst-30543	99	121	of	of	ADP
ajst-30543	99	122	influence	influence	NOUN
ajst-30543	99	123	that	that	PRON
ajst-30543	99	124	a	a	DET
ajst-30543	99	125	particle	particle	NOUN
ajst-30543	99	126	's	's	PART
ajst-30543	99	127	previous	previous	ADJ
ajst-30543	99	128	velocity	velocity	NOUN
ajst-30543	99	129	has	have	VERB
ajst-30543	99	130	on	on	ADP
ajst-30543	99	131	its	its	PRON
ajst-30543	99	132	current	current	ADJ
ajst-30543	99	133	velocity	velocity	NOUN
ajst-30543	99	134	,	,	PUNCT
ajst-30543	99	135	and	and	CCONJ
ajst-30543	99	136	also	also	ADV
ajst-30543	99	137	reflecting	reflect	VERB
ajst-30543	99	138	the	the	DET
ajst-30543	99	139	inertia	inertia	NOUN
ajst-30543	99	140	of	of	ADP
ajst-30543	99	141	the	the	DET
ajst-30543	99	142	particle	particle	NOUN
ajst-30543	99	143	.	.	PUNCT
ajst-30543	100	1	the	the	DET
ajst-30543	100	2	particle	particle	NOUN
ajst-30543	100	3	swarm	swarm	NOUN
ajst-30543	100	4	algorithm	algorithm	NOUN
ajst-30543	100	5	proceeds	proceed	NOUN
ajst-30543	100	6	as	as	SCONJ
ajst-30543	100	7	follows	follow	VERB
ajst-30543	100	8	：	：	PUNCT
ajst-30543	100	9	step	step	NOUN
ajst-30543	100	10	1	1	NUM
ajst-30543	100	11	:	:	PUNCT
ajst-30543	100	12	define	define	VERB
ajst-30543	100	13	the	the	DET
ajst-30543	100	14	parameter	parameter	NOUN
ajst-30543	100	15	space	space	NOUN
ajst-30543	100	16	for	for	ADP
ajst-30543	100	17	the	the	DET
ajst-30543	100	18	rule	rule	NOUN
ajst-30543	100	19	switching	switch	VERB
ajst-30543	100	20	threshold	threshold	NOUN
ajst-30543	100	21	in	in	ADP
ajst-30543	100	22	the	the	DET
ajst-30543	100	23	rule	rule	NOUN
ajst-30543	100	24	energy	energy	NOUN
ajst-30543	100	25	management	management	NOUN
ajst-30543	100	26	strategy	strategy	NOUN
ajst-30543	100	27	.	.	PUNCT
ajst-30543	101	1	these	these	DET
ajst-30543	101	2	parameters	parameter	NOUN
ajst-30543	101	3	are	be	AUX
ajst-30543	101	4	coded	code	VERB
ajst-30543	101	5	and	and	CCONJ
ajst-30543	101	6	designed	design	VERB
ajst-30543	101	7	,	,	PUNCT
ajst-30543	101	8	and	and	CCONJ
ajst-30543	101	9	the	the	DET
ajst-30543	101	10	particles	particle	NOUN
ajst-30543	101	11	'	'	PART
ajst-30543	101	12	maximum	maximum	ADJ
ajst-30543	101	13	velocity	velocity	NOUN
ajst-30543	101	14	and	and	CCONJ
ajst-30543	101	15	search	search	NOUN
ajst-30543	101	16	range	range	NOUN
ajst-30543	101	17	are	be	AUX
ajst-30543	101	18	determined	determine	VERB
ajst-30543	101	19	.	.	PUNCT
ajst-30543	102	1	step	step	NOUN
ajst-30543	102	2	2	2	NUM
ajst-30543	102	3	:	:	PUNCT
ajst-30543	102	4	initialize	initialize	VERB
ajst-30543	102	5	the	the	DET
ajst-30543	102	6	particle	particle	NOUN
ajst-30543	102	7	population	population	NOUN
ajst-30543	102	8	.	.	PUNCT
ajst-30543	103	1	each	each	DET
ajst-30543	103	2	particle	particle	NOUN
ajst-30543	103	3	represents	represent	VERB
ajst-30543	103	4	a	a	DET
ajst-30543	103	5	set	set	NOUN
ajst-30543	103	6	of	of	ADP
ajst-30543	103	7	potential	potential	ADJ
ajst-30543	103	8	optimization	optimization	NOUN
ajst-30543	103	9	parameters	parameter	NOUN
ajst-30543	103	10	,	,	PUNCT
ajst-30543	103	11	and	and	CCONJ
ajst-30543	103	12	these	these	DET
ajst-30543	103	13	initialization	initialization	NOUN
ajst-30543	103	14	parameters	parameter	NOUN
ajst-30543	103	15	should	should	AUX
ajst-30543	103	16	cover	cover	VERB
ajst-30543	103	17	the	the	DET
ajst-30543	103	18	entire	entire	ADJ
ajst-30543	103	19	parameter	parameter	NOUN
ajst-30543	103	20	space	space	NOUN
ajst-30543	103	21	to	to	PART
ajst-30543	103	22	ensure	ensure	VERB
ajst-30543	103	23	comprehensive	comprehensive	ADJ
ajst-30543	103	24	search	search	NOUN
ajst-30543	103	25	.	.	PUNCT
ajst-30543	104	1	step	step	NOUN
ajst-30543	104	2	3	3	NUM
ajst-30543	104	3	:	:	PUNCT
ajst-30543	104	4	set	set	VERB
ajst-30543	104	5	the	the	DET
ajst-30543	104	6	particle	particle	NOUN
ajst-30543	104	7	speed	speed	NOUN
ajst-30543	104	8	and	and	CCONJ
ajst-30543	104	9	position	position	NOUN
ajst-30543	104	10	update	update	NOUN
ajst-30543	104	11	rules	rule	NOUN
ajst-30543	104	12	.	.	PUNCT
ajst-30543	105	1	update	update	VERB
ajst-30543	105	2	the	the	DET
ajst-30543	105	3	velocity	velocity	NOUN
ajst-30543	105	4	of	of	ADP
ajst-30543	105	5	the	the	DET
ajst-30543	105	6	particle	particle	NOUN
ajst-30543	105	7	based	base	VERB
ajst-30543	105	8	on	on	ADP
ajst-30543	105	9	eqs	eqs	PROPN
ajst-30543	105	10	.	.	PUNCT
ajst-30543	106	1	(	(	PUNCT
ajst-30543	106	2	3	3	X
ajst-30543	106	3	)	)	PUNCT
ajst-30543	106	4	update	update	VERB
ajst-30543	106	5	the	the	DET
ajst-30543	106	6	position	position	NOUN
ajst-30543	106	7	of	of	ADP
ajst-30543	106	8	particles	particle	NOUN
ajst-30543	106	9	according	accord	VERB
ajst-30543	106	10	to	to	ADP
ajst-30543	106	11	eqs	eqs	PROPN
ajst-30543	106	12	.	.	PUNCT
ajst-30543	107	1	(	(	PUNCT
ajst-30543	107	2	4	4	NUM
ajst-30543	107	3	)	)	PUNCT
ajst-30543	107	4	.	.	PUNCT
ajst-30543	108	1	step	step	NOUN
ajst-30543	108	2	4	4	NUM
ajst-30543	108	3	:	:	PUNCT
ajst-30543	108	4	decode	decode	VERB
ajst-30543	108	5	the	the	DET
ajst-30543	108	6	parameters	parameter	NOUN
ajst-30543	108	7	of	of	ADP
ajst-30543	108	8	each	each	DET
ajst-30543	108	9	particle	particle	NOUN
ajst-30543	108	10	and	and	CCONJ
ajst-30543	108	11	apply	apply	VERB
ajst-30543	108	12	them	they	PRON
ajst-30543	108	13	to	to	ADP
ajst-30543	108	14	the	the	DET
ajst-30543	108	15	rule	rule	NOUN
ajst-30543	108	16	-	-	PUNCT
ajst-30543	108	17	based	base	VERB
ajst-30543	108	18	energy	energy	NOUN
ajst-30543	108	19	management	management	NOUN
ajst-30543	108	20	strategy	strategy	NOUN
ajst-30543	108	21	.	.	PUNCT
ajst-30543	109	1	by	by	ADP
ajst-30543	109	2	evaluating	evaluate	VERB
ajst-30543	109	3	the	the	DET
ajst-30543	109	4	performance	performance	NOUN
ajst-30543	109	5	of	of	ADP
ajst-30543	109	6	these	these	DET
ajst-30543	109	7	parameters	parameter	NOUN
ajst-30543	109	8	in	in	ADP
ajst-30543	109	9	different	different	ADJ
ajst-30543	109	10	soc	soc	NOUN
ajst-30543	109	11	states	state	NOUN
ajst-30543	109	12	,	,	PUNCT
ajst-30543	109	13	update	update	VERB
ajst-30543	109	14	the	the	DET
ajst-30543	109	15	individual	individual	ADJ
ajst-30543	109	16	best	good	ADJ
ajst-30543	109	17	(	(	PUNCT
ajst-30543	109	18	pbest	pbest	NOUN
ajst-30543	109	19	)	)	PUNCT
ajst-30543	109	20	and	and	CCONJ
ajst-30543	109	21	global	global	ADJ
ajst-30543	109	22	best	good	ADJ
ajst-30543	109	23	(	(	PUNCT
ajst-30543	109	24	gbest	gbest	NOUN
ajst-30543	109	25	)	)	PUNCT
ajst-30543	109	26	for	for	ADP
ajst-30543	109	27	each	each	DET
ajst-30543	109	28	particle	particle	NOUN
ajst-30543	109	29	.	.	PUNCT
ajst-30543	110	1	step	step	NOUN
ajst-30543	110	2	5	5	NUM
ajst-30543	110	3	:	:	PUNCT
ajst-30543	110	4	determine	determine	VERB
ajst-30543	110	5	whether	whether	SCONJ
ajst-30543	110	6	the	the	DET
ajst-30543	110	7	termination	termination	NOUN
ajst-30543	110	8	condition	condition	NOUN
ajst-30543	110	9	is	be	AUX
ajst-30543	110	10	satisfied	satisfied	ADJ
ajst-30543	110	11	,	,	PUNCT
ajst-30543	110	12	i.e.	i.e.	X
ajst-30543	110	13	,	,	PUNCT
ajst-30543	110	14	the	the	DET
ajst-30543	110	15	maximum	maximum	ADJ
ajst-30543	110	16	number	number	NOUN
ajst-30543	110	17	of	of	ADP
ajst-30543	110	18	iterations	iteration	NOUN
ajst-30543	110	19	or	or	CCONJ
ajst-30543	110	20	the	the	DET
ajst-30543	110	21	optimal	optimal	ADJ
ajst-30543	110	22	fitness	fitness	NOUN
ajst-30543	110	23	value	value	NOUN
ajst-30543	110	24	is	be	AUX
ajst-30543	110	25	reached	reach	VERB
ajst-30543	110	26	.	.	PUNCT
ajst-30543	111	1	if	if	SCONJ
ajst-30543	111	2	it	it	PRON
ajst-30543	111	3	is	be	AUX
ajst-30543	111	4	not	not	PART
ajst-30543	111	5	satisfied	satisfied	ADJ
ajst-30543	111	6	then	then	ADV
ajst-30543	111	7	enter	enter	VERB
ajst-30543	111	8	the	the	DET
ajst-30543	111	9	loop	loop	NOUN
ajst-30543	111	10	from	from	ADP
ajst-30543	111	11	step	step	NOUN
ajst-30543	111	12	3	3	NUM
ajst-30543	111	13	,	,	PUNCT
ajst-30543	111	14	if	if	SCONJ
ajst-30543	111	15	it	it	PRON
ajst-30543	111	16	is	be	AUX
ajst-30543	111	17	satisfied	satisfied	ADJ
ajst-30543	111	18	then	then	ADV
ajst-30543	111	19	stop	stop	VERB
ajst-30543	111	20	the	the	DET
ajst-30543	111	21	iteration	iteration	NOUN
ajst-30543	111	22	and	and	CCONJ
ajst-30543	111	23	output	output	VERB
ajst-30543	111	24	the	the	DET
ajst-30543	111	25	optimal	optimal	ADJ
ajst-30543	111	26	solution	solution	NOUN
ajst-30543	111	27	.	.	PUNCT
ajst-30543	112	1	3.2.3	3.2.3	X
ajst-30543	112	2	.	.	PUNCT
ajst-30543	112	3	principles	principle	NOUN
ajst-30543	112	4	of	of	ADP
ajst-30543	112	5	genetic	genetic	ADJ
ajst-30543	112	6	algorithms	algorithm	NOUN
ajst-30543	112	7	genetic	genetic	ADJ
ajst-30543	112	8	algorithm	algorithm	NOUN
ajst-30543	112	9	(	(	PUNCT
ajst-30543	112	10	ga	ga	NOUN
ajst-30543	112	11	)	)	PUNCT
ajst-30543	112	12	is	be	AUX
ajst-30543	112	13	an	an	DET
ajst-30543	112	14	optimization	optimization	NOUN
ajst-30543	112	15	method	method	NOUN
ajst-30543	112	16	that	that	PRON
ajst-30543	112	17	mimics	mimic	VERB
ajst-30543	112	18	the	the	DET
ajst-30543	112	19	principles	principle	NOUN
ajst-30543	112	20	of	of	ADP
ajst-30543	112	21	natural	natural	ADJ
ajst-30543	112	22	selection	selection	NOUN
ajst-30543	112	23	and	and	CCONJ
ajst-30543	112	24	genetics	genetic	NOUN
ajst-30543	112	25	and	and	CCONJ
ajst-30543	112	26	is	be	AUX
ajst-30543	112	27	one	one	NUM
ajst-30543	112	28	of	of	ADP
ajst-30543	112	29	the	the	DET
ajst-30543	112	30	classical	classical	ADJ
ajst-30543	112	31	representatives	representative	NOUN
ajst-30543	112	32	of	of	ADP
ajst-30543	112	33	evolutionary	evolutionary	ADJ
ajst-30543	112	34	algorithms	algorithm	NOUN
ajst-30543	112	35	.	.	PUNCT
ajst-30543	113	1	the	the	DET
ajst-30543	113	2	core	core	ADJ
ajst-30543	113	3	idea	idea	NOUN
ajst-30543	113	4	of	of	ADP
ajst-30543	113	5	the	the	DET
ajst-30543	113	6	genetic	genetic	ADJ
ajst-30543	113	7	algorithm	algorithm	NOUN
ajst-30543	113	8	is	be	AUX
ajst-30543	113	9	to	to	PART
ajst-30543	113	10	optimize	optimize	VERB
ajst-30543	113	11	the	the	DET
ajst-30543	113	12	objective	objective	ADJ
ajst-30543	113	13	function	function	NOUN
ajst-30543	113	14	step	step	NOUN
ajst-30543	113	15	by	by	ADP
ajst-30543	113	16	step	step	NOUN
ajst-30543	113	17	by	by	ADP
ajst-30543	113	18	simulating	simulate	VERB
ajst-30543	113	19	the	the	DET
ajst-30543	113	20	evolutionary	evolutionary	ADJ
ajst-30543	113	21	process	process	NOUN
ajst-30543	113	22	of	of	ADP
ajst-30543	113	23	species	specie	NOUN
ajst-30543	113	24	in	in	ADP
ajst-30543	113	25	nature	nature	NOUN
ajst-30543	113	26	,	,	PUNCT
ajst-30543	113	27	continuously	continuously	ADV
ajst-30543	113	28	selecting	select	VERB
ajst-30543	113	29	individuals	individual	NOUN
ajst-30543	113	30	(	(	PUNCT
ajst-30543	113	31	solutions	solution	NOUN
ajst-30543	113	32	)	)	PUNCT
ajst-30543	113	33	with	with	ADP
ajst-30543	113	34	higher	high	ADJ
ajst-30543	113	35	fitness	fitness	NOUN
ajst-30543	113	36	,	,	PUNCT
ajst-30543	113	37	and	and	CCONJ
ajst-30543	113	38	generating	generate	VERB
ajst-30543	113	39	new	new	ADJ
ajst-30543	113	40	solutions	solution	NOUN
ajst-30543	113	41	through	through	ADP
ajst-30543	113	42	crossover	crossover	NOUN
ajst-30543	113	43	and	and	CCONJ
ajst-30543	113	44	mutation	mutation	NOUN
ajst-30543	113	45	operations	operation	NOUN
ajst-30543	113	46	.	.	PUNCT
ajst-30543	114	1	the	the	DET
ajst-30543	114	2	basic	basic	ADJ
ajst-30543	114	3	process	process	NOUN
ajst-30543	114	4	of	of	ADP
ajst-30543	114	5	a	a	DET
ajst-30543	114	6	genetic	genetic	ADJ
ajst-30543	114	7	algorithm	algorithm	NOUN
ajst-30543	114	8	includes	include	VERB
ajst-30543	114	9	initializing	initialize	VERB
ajst-30543	114	10	the	the	DET
ajst-30543	114	11	population	population	NOUN
ajst-30543	114	12	,	,	PUNCT
ajst-30543	114	13	calculating	calculate	VERB
ajst-30543	114	14	fitness	fitness	NOUN
ajst-30543	114	15	,	,	PUNCT
ajst-30543	114	16	selection	selection	NOUN
ajst-30543	114	17	operation	operation	NOUN
ajst-30543	114	18	,	,	PUNCT
ajst-30543	114	19	crossover	crossover	NOUN
ajst-30543	114	20	operation	operation	NOUN
ajst-30543	114	21	,	,	PUNCT
ajst-30543	114	22	mutation	mutation	NOUN
ajst-30543	114	23	operation	operation	NOUN
ajst-30543	114	24	,	,	PUNCT
ajst-30543	114	25	and	and	CCONJ
ajst-30543	114	26	iterative	iterative	NOUN
ajst-30543	114	27	updating	updating	NOUN
ajst-30543	114	28	,	,	PUNCT
ajst-30543	114	29	and	and	CCONJ
ajst-30543	114	30	finally	finally	ADV
ajst-30543	114	31	obtaining	obtain	VERB
ajst-30543	114	32	the	the	DET
ajst-30543	114	33	global	global	ADJ
ajst-30543	114	34	optimal	optimal	ADJ
ajst-30543	114	35	solution	solution	NOUN
ajst-30543	114	36	through	through	ADP
ajst-30543	114	37	several	several	ADJ
ajst-30543	114	38	iterations	iteration	NOUN
ajst-30543	114	39	.	.	PUNCT
ajst-30543	115	1	the	the	DET
ajst-30543	115	2	fitness	fitness	NOUN
ajst-30543	115	3	function	function	PROPN
ajst-30543	115	4	f(x	f(x	PROPN
ajst-30543	115	5	)	)	PUNCT
ajst-30543	115	6	is	be	AUX
ajst-30543	115	7	used	use	VERB
ajst-30543	115	8	to	to	PART
ajst-30543	115	9	evaluate	evaluate	VERB
ajst-30543	115	10	the	the	DET
ajst-30543	115	11	performance	performance	NOUN
ajst-30543	115	12	of	of	ADP
ajst-30543	115	13	each	each	DET
ajst-30543	115	14	individual	individual	NOUN
ajst-30543	115	15	in	in	ADP
ajst-30543	115	16	a	a	DET
ajst-30543	115	17	population	population	NOUN
ajst-30543	115	18	.	.	PUNCT
ajst-30543	116	1	the	the	DET
ajst-30543	116	2	function	function	NOUN
ajst-30543	116	3	is	be	AUX
ajst-30543	116	4	usually	usually	ADV
ajst-30543	116	5	defined	define	VERB
ajst-30543	116	6	on	on	ADP
ajst-30543	116	7	a	a	DET
ajst-30543	116	8	problem	problem	NOUN
ajst-30543	116	9	-	-	PUNCT
ajst-30543	116	10	specific	specific	ADJ
ajst-30543	116	11	basis	basis	NOUN
ajst-30543	116	12	and	and	CCONJ
ajst-30543	116	13	its	its	PRON
ajst-30543	116	14	objective	objective	NOUN
ajst-30543	116	15	is	be	AUX
ajst-30543	116	16	to	to	PART
ajst-30543	116	17	maximize	maximize	VERB
ajst-30543	116	18	the	the	DET
ajst-30543	116	19	value	value	NOUN
ajst-30543	116	20	of	of	ADP
ajst-30543	116	21	f(x	f(x	PROPN
ajst-30543	116	22	)	)	PUNCT
ajst-30543	116	23	.	.	PUNCT
ajst-30543	117	1	an	an	DET
ajst-30543	117	2	individual	individual	NOUN
ajst-30543	117	3	x	x	PUNCT
ajst-30543	117	4	is	be	AUX
ajst-30543	117	5	represented	represent	VERB
ajst-30543	117	6	as	as	ADP
ajst-30543	117	7	a	a	DET
ajst-30543	117	8	vector	vector	NOUN
ajst-30543	117	9	encoding	encode	VERB
ajst-30543	117	10	the	the	DET
ajst-30543	117	11	solution	solution	NOUN
ajst-30543	117	12	characteristics	characteristic	NOUN
ajst-30543	117	13	.	.	PUNCT
ajst-30543	118	1	the	the	DET
ajst-30543	118	2	probability	probability	NOUN
ajst-30543	118	3	of	of	ADP
ajst-30543	118	4	an	an	DET
ajst-30543	118	5	individual	individual	NOUN
ajst-30543	118	6	being	be	AUX
ajst-30543	118	7	selected	select	VERB
ajst-30543	118	8	for	for	ADP
ajst-30543	118	9	reproduction	reproduction	NOUN
ajst-30543	118	10	is	be	AUX
ajst-30543	118	11	proportional	proportional	ADJ
ajst-30543	118	12	to	to	ADP
ajst-30543	118	13	its	its	PRON
ajst-30543	118	14	fitness	fitness	NOUN
ajst-30543	118	15	and	and	CCONJ
ajst-30543	118	16	is	be	AUX
ajst-30543	118	17	calculated	calculate	VERB
ajst-30543	118	18	as	as	SCONJ
ajst-30543	118	19	shown	show	VERB
ajst-30543	118	20	in	in	ADP
ajst-30543	118	21	equation	equation	NOUN
ajst-30543	118	22	(	(	PUNCT
ajst-30543	118	23	9	9	NUM
ajst-30543	118	24	)	)	PUNCT
ajst-30543	118	25	.	.	PUNCT
ajst-30543	119	1	1	1	NUM
ajst-30543	119	2	(	(	PUNCT
ajst-30543	119	3	)	)	PUNCT
ajst-30543	119	4	(	(	PUNCT
ajst-30543	119	5	)	)	PUNCT
ajst-30543	120	1	i	i	PRON
ajst-30543	120	2	i	i	PRON
ajst-30543	120	3	n	n	VERB
ajst-30543	120	4	jj	jj	PROPN
ajst-30543	120	5	f	f	PROPN
ajst-30543	120	6	x	x	PROPN
ajst-30543	121	1	p	p	X
ajst-30543	121	2	f	f	X
ajst-30543	121	3	x	x	SYM
ajst-30543	121	4			PROPN
ajst-30543	121	5			NOUN
ajst-30543	121	6			X
ajst-30543	121	7	(	(	PUNCT
ajst-30543	121	8	8)	8)	NUM
ajst-30543	121	9	where	where	SCONJ
ajst-30543	121	10	(	(	PUNCT
ajst-30543	121	11	)	)	PUNCT
ajst-30543	121	12	if	if	SCONJ
ajst-30543	121	13	x	x	PRON
ajst-30543	121	14	denotes	denote	VERB
ajst-30543	121	15	the	the	DET
ajst-30543	121	16	fitness	fitness	NOUN
ajst-30543	121	17	of	of	ADP
ajst-30543	121	18	the	the	DET
ajst-30543	121	19	ith	ith	PROPN
ajst-30543	121	20	individual	individual	NOUN
ajst-30543	121	21	and	and	CCONJ
ajst-30543	121	22	n	n	NOUN
ajst-30543	121	23	is	be	AUX
ajst-30543	121	24	the	the	DET
ajst-30543	121	25	total	total	ADJ
ajst-30543	121	26	number	number	NOUN
ajst-30543	121	27	of	of	ADP
ajst-30543	121	28	individuals	individual	NOUN
ajst-30543	121	29	in	in	ADP
ajst-30543	121	30	the	the	DET
ajst-30543	121	31	population	population	NOUN
ajst-30543	121	32	.	.	PUNCT
ajst-30543	122	1	the	the	DET
ajst-30543	122	2	crossover	crossover	NOUN
ajst-30543	122	3	operation	operation	NOUN
ajst-30543	122	4	generates	generate	VERB
ajst-30543	122	5	new	new	ADJ
ajst-30543	122	6	offspring	offspring	NOUN
ajst-30543	122	7	by	by	ADP
ajst-30543	122	8	exchanging	exchange	VERB
ajst-30543	122	9	some	some	PRON
ajst-30543	122	10	of	of	ADP
ajst-30543	122	11	the	the	DET
ajst-30543	122	12	genes	gene	NOUN
ajst-30543	122	13	of	of	ADP
ajst-30543	122	14	two	two	NUM
ajst-30543	122	15	individuals	individual	NOUN
ajst-30543	122	16	.	.	PUNCT
ajst-30543	123	1	assuming	assume	VERB
ajst-30543	123	2	that	that	SCONJ
ajst-30543	123	3	the	the	DET
ajst-30543	123	4	crossover	crossover	NOUN
ajst-30543	123	5	point	point	NOUN
ajst-30543	123	6	is	be	AUX
ajst-30543	123	7	k	k	PROPN
ajst-30543	123	8	,	,	PUNCT
ajst-30543	123	9	for	for	ADP
ajst-30543	123	10	two	two	NUM
ajst-30543	123	11	individuals	individual	NOUN
ajst-30543	123	12	ikx	ikx	VERB
ajst-30543	123	13	and	and	CCONJ
ajst-30543	123	14	jnx	jnx	PROPN
ajst-30543	123	15	,	,	PUNCT
ajst-30543	123	16	the	the	DET
ajst-30543	123	17	generation	generation	NOUN
ajst-30543	123	18	of	of	ADP
ajst-30543	123	19	the	the	DET
ajst-30543	123	20	offspring	offspring	NOUN
ajst-30543	123	21	newx	newx	NOUN
ajst-30543	123	22	can	can	AUX
ajst-30543	123	23	be	be	AUX
ajst-30543	123	24	expressed	express	VERB
ajst-30543	123	25	as	as	ADP
ajst-30543	123	26	equation	equation	NOUN
ajst-30543	123	27	(	(	PUNCT
ajst-30543	123	28	10	10	NUM
ajst-30543	123	29	)	)	PUNCT
ajst-30543	123	30	.	.	PUNCT
ajst-30543	124	1	1	1	NUM
ajst-30543	124	2	2	2	NUM
ajst-30543	124	3	(	(	PUNCT
ajst-30543	124	4	1	1	NUM
ajst-30543	124	5	)	)	PUNCT
ajst-30543	124	6	(	(	PUNCT
ajst-30543	124	7	,	,	PUNCT
ajst-30543	124	8	,	,	PUNCT
ajst-30543	124	9	...	...	PUNCT
ajst-30543	124	10	,	,	PUNCT
ajst-30543	124	11	,	,	PUNCT
ajst-30543	124	12	,	,	PUNCT
ajst-30543	124	13	...	...	PUNCT
ajst-30543	124	14	,	,	PUNCT
ajst-30543	124	15	)	)	PUNCT
ajst-30543	124	16	new	new	ADJ
ajst-30543	125	1	i	i	PRON
ajst-30543	125	2	i	i	PROPN
ajst-30543	125	3	ik	ik	PROPN
ajst-30543	125	4	j	j	PROPN
ajst-30543	125	5	k	k	PROPN
ajst-30543	125	6	jnx	jnx	PROPN
ajst-30543	125	7	x	x	PUNCT
ajst-30543	125	8	x	x	PUNCT
ajst-30543	125	9	x	x	PUNCT
ajst-30543	125	10	x	x	X
ajst-30543	125	11	x	x	PROPN
ajst-30543	125	12	(	(	PUNCT
ajst-30543	125	13	9	9	NUM
ajst-30543	125	14	)	)	PUNCT
ajst-30543	125	15	where	where	SCONJ
ajst-30543	125	16	ikx	ikx	NOUN
ajst-30543	125	17	and	and	CCONJ
ajst-30543	125	18	jnx	jnx	PROPN
ajst-30543	125	19	denote	denote	VERB
ajst-30543	125	20	the	the	DET
ajst-30543	125	21	genes	gene	NOUN
ajst-30543	125	22	of	of	ADP
ajst-30543	125	23	individuals	individual	NOUN
ajst-30543	125	24	ix	ix	X
ajst-30543	125	25	and	and	CCONJ
ajst-30543	125	26	jx	jx	PROPN
ajst-30543	125	27	before	before	ADV
ajst-30543	125	28	and	and	CCONJ
ajst-30543	125	29	after	after	ADP
ajst-30543	125	30	the	the	DET
ajst-30543	125	31	crossing	crossing	NOUN
ajst-30543	125	32	point	point	NOUN
ajst-30543	125	33	k	k	PROPN
ajst-30543	125	34	,	,	PUNCT
ajst-30543	125	35	respectively	respectively	ADV
ajst-30543	125	36	.	.	PUNCT
ajst-30543	126	1	3.3	3.3	NUM
ajst-30543	126	2	.	.	PUNCT
ajst-30543	127	1	parameter	parameter	NOUN
ajst-30543	127	2	identification	identification	NOUN
ajst-30543	127	3	results	result	NOUN
ajst-30543	127	4	in	in	ADP
ajst-30543	127	5	the	the	DET
ajst-30543	127	6	electric	electric	ADJ
ajst-30543	127	7	vehicle	vehicle	NOUN
ajst-30543	127	8	parameter	parameter	NOUN
ajst-30543	127	9	identification	identification	NOUN
ajst-30543	127	10	study	study	NOUN
ajst-30543	127	11	,	,	PUNCT
ajst-30543	127	12	three	three	NUM
ajst-30543	127	13	intelligent	intelligent	ADJ
ajst-30543	127	14	optimization	optimization	NOUN
ajst-30543	127	15	algorithms	algorithm	NOUN
ajst-30543	127	16	were	be	AUX
ajst-30543	127	17	used	use	VERB
ajst-30543	127	18	to	to	PART
ajst-30543	127	19	identify	identify	VERB
ajst-30543	127	20	the	the	DET
ajst-30543	127	21	model	model	NOUN
ajst-30543	127	22	parameters	parameter	NOUN
ajst-30543	127	23	rn	rn	PROPN
ajst-30543	127	24	,	,	PUNCT
ajst-30543	127	25	rm	rm	PROPN
ajst-30543	127	26	,	,	PUNCT
ajst-30543	127	27	τand	τand	PROPN
ajst-30543	127	28	rh	rh	PROPN
ajst-30543	127	29	of	of	ADP
ajst-30543	127	30	the	the	DET
ajst-30543	127	31	battery	battery	NOUN
ajst-30543	127	32	and	and	CCONJ
ajst-30543	127	33	ultracapacitor	ultracapacitor	NOUN
ajst-30543	127	34	under	under	ADP
ajst-30543	127	35	different	different	ADJ
ajst-30543	127	36	state	state	NOUN
ajst-30543	127	37	of	of	ADP
ajst-30543	127	38	charge	charge	NOUN
ajst-30543	127	39	(	(	PUNCT
ajst-30543	127	40	soc	soc	NOUN
ajst-30543	127	41	)	)	PUNCT
ajst-30543	127	42	conditions	condition	NOUN
ajst-30543	127	43	,	,	PUNCT
ajst-30543	127	44	respectively	respectively	ADV
ajst-30543	127	45	.	.	PUNCT
ajst-30543	128	1	the	the	DET
ajst-30543	128	2	identification	identification	NOUN
ajst-30543	128	3	results	result	NOUN
ajst-30543	128	4	are	be	AUX
ajst-30543	128	5	shown	show	VERB
ajst-30543	128	6	in	in	ADP
ajst-30543	128	7	fig	fig	NOUN
ajst-30543	128	8	.	.	PUNCT
ajst-30543	129	1	3	3	NUM
ajst-30543	129	2	,	,	PUNCT
ajst-30543	129	3	in	in	ADP
ajst-30543	129	4	which	which	PRON
ajst-30543	129	5	the	the	DET
ajst-30543	129	6	identified	identify	VERB
ajst-30543	129	7	values	value	NOUN
ajst-30543	129	8	of	of	ADP
ajst-30543	129	9	the	the	DET
ajst-30543	129	10	parameters	parameter	NOUN
ajst-30543	129	11	of	of	ADP
ajst-30543	129	12	the	the	DET
ajst-30543	129	13	battery	battery	NOUN
ajst-30543	129	14	are	be	AUX
ajst-30543	129	15	mainly	mainly	ADV
ajst-30543	129	16	concentrated	concentrate	VERB
ajst-30543	129	17	in	in	ADP
ajst-30543	129	18	the	the	DET
ajst-30543	129	19	interval	interval	NOUN
ajst-30543	130	1	[	[	X
ajst-30543	130	2	40mω	40mω	ADJ
ajst-30543	130	3	,	,	PUNCT
ajst-30543	130	4	50mω	50mω	ADJ
ajst-30543	130	5	]	]	PUNCT
ajst-30543	130	6	,	,	PUNCT
ajst-30543	131	1	[	[	X
ajst-30543	131	2	0mω	0mω	NOUN
ajst-30543	131	3	,	,	PUNCT
ajst-30543	131	4	80mω	80mω	NOUN
ajst-30543	131	5	]	]	X
ajst-30543	131	6	,	,	PUNCT
ajst-30543	131	7	[	[	X
ajst-30543	131	8	0	0	NUM
ajst-30543	131	9	,	,	PUNCT
ajst-30543	131	10	200	200	NUM
ajst-30543	131	11	]	]	PUNCT
ajst-30543	131	12	,	,	PUNCT
ajst-30543	131	13	while	while	SCONJ
ajst-30543	131	14	the	the	DET
ajst-30543	131	15	identified	identify	VERB
ajst-30543	131	16	values	value	NOUN
ajst-30543	131	17	of	of	ADP
ajst-30543	131	18	the	the	DET
ajst-30543	131	19	parameters	parameter	NOUN
ajst-30543	131	20	of	of	ADP
ajst-30543	131	21	the	the	DET
ajst-30543	131	22	supercapacitor	supercapacitor	NOUN
ajst-30543	131	23	are	be	AUX
ajst-30543	131	24	mainly	mainly	ADV
ajst-30543	131	25	located	locate	VERB
ajst-30543	131	26	in	in	ADP
ajst-30543	131	27	the	the	DET
ajst-30543	131	28	interval	interval	NOUN
ajst-30543	131	29	[	[	X
ajst-30543	131	30	0.45mω	0.45mω	NUM
ajst-30543	131	31	,	,	PUNCT
ajst-30543	131	32	0.55mω	0.55mω	VERB
ajst-30543	131	33	]	]	PUNCT
ajst-30543	131	34	.	.	PUNCT
ajst-30543	132	1	further	further	ADJ
ajst-30543	132	2	analysis	analysis	NOUN
ajst-30543	132	3	reveals	reveal	VERB
ajst-30543	132	4	that	that	SCONJ
ajst-30543	132	5	gwo	gwo	PROPN
ajst-30543	132	6	demonstrates	demonstrate	VERB
ajst-30543	132	7	superior	superior	ADJ
ajst-30543	132	8	applicability	applicability	NOUN
ajst-30543	132	9	compared	compare	VERB
ajst-30543	132	10	to	to	ADP
ajst-30543	132	11	the	the	DET
ajst-30543	132	12	other	other	ADJ
ajst-30543	132	13	two	two	NUM
ajst-30543	132	14	algorithms	algorithm	NOUN
ajst-30543	132	15	over	over	ADP
ajst-30543	132	16	the	the	DET
ajst-30543	132	17	entire	entire	ADJ
ajst-30543	132	18	soc	soc	NOUN
ajst-30543	132	19	range	range	NOUN
ajst-30543	132	20	.	.	PUNCT
ajst-30543	133	1	171	171	NUM
ajst-30543	133	2	(	(	PUNCT
ajst-30543	133	3	a	a	NOUN
ajst-30543	133	4	)	)	PUNCT
ajst-30543	133	5	(	(	PUNCT
ajst-30543	133	6	b	b	X
ajst-30543	133	7	)	)	PUNCT
ajst-30543	133	8	(	(	PUNCT
ajst-30543	133	9	c	c	X
ajst-30543	133	10	)	)	PUNCT
ajst-30543	133	11	(	(	PUNCT
ajst-30543	133	12	d	d	X
ajst-30543	133	13	)	)	PUNCT
ajst-30543	133	14	figure	figure	NOUN
ajst-30543	133	15	3	3	NUM
ajst-30543	133	16	.	.	PUNCT
ajst-30543	133	17	offline	offline	ADJ
ajst-30543	133	18	recognition	recognition	NOUN
ajst-30543	133	19	results	result	NOUN
ajst-30543	133	20	of	of	ADP
ajst-30543	133	21	three	three	NUM
ajst-30543	133	22	intelligent	intelligent	ADJ
ajst-30543	133	23	optimization	optimization	NOUN
ajst-30543	133	24	algorithms	algorithm	NOUN
ajst-30543	133	25	:	:	PUNCT
ajst-30543	133	26	(	(	PUNCT
ajst-30543	133	27	a	a	X
ajst-30543	133	28	)	)	PUNCT
ajst-30543	133	29	rn	rn	PROPN
ajst-30543	133	30	offline	offline	ADJ
ajst-30543	133	31	recognition	recognition	NOUN
ajst-30543	133	32	results	result	NOUN
ajst-30543	133	33	,	,	PUNCT
ajst-30543	133	34	(	(	PUNCT
ajst-30543	133	35	b	b	X
ajst-30543	133	36	)	)	PUNCT
ajst-30543	133	37	rm	rm	NOUN
ajst-30543	133	38	offline	offline	ADJ
ajst-30543	133	39	recognition	recognition	PROPN
ajst-30543	133	40	results	result	NOUN
ajst-30543	133	41	,	,	PUNCT
ajst-30543	133	42	(	(	PUNCT
ajst-30543	133	43	c)τ	c)τ	ADJ
ajst-30543	133	44	offline	offline	ADJ
ajst-30543	133	45	recognition	recognition	NOUN
ajst-30543	133	46	results	result	VERB
ajst-30543	133	47	,	,	PUNCT
ajst-30543	133	48	(	(	PUNCT
ajst-30543	133	49	d	d	X
ajst-30543	133	50	)	)	PUNCT
ajst-30543	133	51	rh	rh	PROPN
ajst-30543	133	52	offline	offline	ADJ
ajst-30543	133	53	recognition	recognition	PROPN
ajst-30543	133	54	results	result	VERB
ajst-30543	133	55	4	4	NUM
ajst-30543	133	56	.	.	NOUN
ajst-30543	133	57	result	result	VERB
ajst-30543	133	58	comparison	comparison	NOUN
ajst-30543	133	59	and	and	CCONJ
ajst-30543	133	60	discussion	discussion	NOUN
ajst-30543	133	61	in	in	ADP
ajst-30543	133	62	order	order	NOUN
ajst-30543	133	63	to	to	PART
ajst-30543	133	64	verify	verify	VERB
ajst-30543	133	65	the	the	DET
ajst-30543	133	66	advantages	advantage	NOUN
ajst-30543	133	67	of	of	ADP
ajst-30543	133	68	the	the	DET
ajst-30543	133	69	gwo	gwo	PROPN
ajst-30543	133	70	algorithm	algorithm	NOUN
ajst-30543	133	71	in	in	ADP
ajst-30543	133	72	model	model	NOUN
ajst-30543	133	73	construction	construction	NOUN
ajst-30543	133	74	,	,	PUNCT
ajst-30543	133	75	the	the	DET
ajst-30543	133	76	model	model	NOUN
ajst-30543	133	77	was	be	AUX
ajst-30543	133	78	validated	validate	VERB
ajst-30543	133	79	using	use	VERB
ajst-30543	133	80	the	the	DET
ajst-30543	133	81	udds	udd	NOUN
ajst-30543	133	82	working	working	NOUN
ajst-30543	133	83	condition	condition	NOUN
ajst-30543	133	84	as	as	ADP
ajst-30543	133	85	the	the	DET
ajst-30543	133	86	experimental	experimental	ADJ
ajst-30543	133	87	driving	driving	NOUN
ajst-30543	133	88	condition	condition	NOUN
ajst-30543	133	89	.	.	PUNCT
ajst-30543	134	1	the	the	DET
ajst-30543	134	2	results	result	NOUN
ajst-30543	134	3	of	of	ADP
ajst-30543	134	4	voltage	voltage	NOUN
ajst-30543	134	5	comparison	comparison	NOUN
ajst-30543	134	6	as	as	ADV
ajst-30543	134	7	well	well	ADV
ajst-30543	134	8	as	as	ADP
ajst-30543	134	9	error	error	NOUN
ajst-30543	134	10	analysis	analysis	NOUN
ajst-30543	134	11	are	be	AUX
ajst-30543	134	12	shown	show	VERB
ajst-30543	134	13	in	in	ADP
ajst-30543	134	14	fig	fig	NOUN
ajst-30543	134	15	.	.	PUNCT
ajst-30543	135	1	4	4	X
ajst-30543	135	2	.	.	X
ajst-30543	135	3	the	the	DET
ajst-30543	135	4	average	average	ADJ
ajst-30543	135	5	absolute	absolute	ADJ
ajst-30543	135	6	errors	error	NOUN
ajst-30543	135	7	for	for	ADP
ajst-30543	135	8	gwo	gwo	PROPN
ajst-30543	135	9	,	,	PUNCT
ajst-30543	135	10	pso	pso	NOUN
ajst-30543	135	11	,	,	PUNCT
ajst-30543	135	12	and	and	CCONJ
ajst-30543	135	13	ga	ga	PROPN
ajst-30543	135	14	cells	cell	NOUN
ajst-30543	135	15	are	be	AUX
ajst-30543	135	16	3.1mv	3.1mv	NUM
ajst-30543	135	17	,	,	PUNCT
ajst-30543	135	18	14.1mv	14.1mv	NUM
ajst-30543	135	19	,	,	PUNCT
ajst-30543	135	20	and	and	CCONJ
ajst-30543	135	21	15.4mv	15.4mv	NOUN
ajst-30543	135	22	,	,	PUNCT
ajst-30543	135	23	respectively	respectively	ADV
ajst-30543	135	24	;	;	PUNCT
ajst-30543	135	25	and	and	CCONJ
ajst-30543	135	26	for	for	ADP
ajst-30543	135	27	ultracapacitors	ultracapacitor	NOUN
ajst-30543	135	28	are	be	AUX
ajst-30543	135	29	1.7mv	1.7mv	NUM
ajst-30543	135	30	,	,	PUNCT
ajst-30543	135	31	2.0mv	2.0mv	NUM
ajst-30543	135	32	,	,	PUNCT
ajst-30543	135	33	and	and	CCONJ
ajst-30543	135	34	2.0mv	2.0mv	NUM
ajst-30543	135	35	,	,	PUNCT
ajst-30543	135	36	respectively	respectively	ADV
ajst-30543	135	37	.	.	PUNCT
ajst-30543	136	1	figure	figure	NOUN
ajst-30543	136	2	3	3	NUM
ajst-30543	136	3	.	.	PUNCT
ajst-30543	136	4	voltage	voltage	NOUN
ajst-30543	136	5	errors	error	NOUN
ajst-30543	136	6	of	of	ADP
ajst-30543	136	7	different	different	ADJ
ajst-30543	136	8	algorithms	algorithm	NOUN
ajst-30543	136	9	under	under	ADP
ajst-30543	136	10	udds	udds	PROPN
ajst-30543	136	11	conditions	condition	NOUN
ajst-30543	136	12	table	table	NOUN
ajst-30543	136	13	2	2	NUM
ajst-30543	136	14	.	.	PUNCT
ajst-30543	136	15	specific	specific	ADJ
ajst-30543	136	16	voltage	voltage	NOUN
ajst-30543	136	17	error	error	NOUN
ajst-30543	136	18	values	value	NOUN
ajst-30543	136	19	of	of	ADP
ajst-30543	136	20	different	different	ADJ
ajst-30543	136	21	algorithm	algorithm	NOUN
ajst-30543	136	22	models	model	NOUN
ajst-30543	136	23	categorization	categorization	NOUN
ajst-30543	136	24	parameter	parameter	NOUN
ajst-30543	136	25	gwo	gwo	PROPN
ajst-30543	136	26	pso	pso	PROPN
ajst-30543	136	27	ga	ga	PROPN
ajst-30543	136	28	battery	battery	PROPN
ajst-30543	136	29	mae	mae	PROPN
ajst-30543	136	30	error	error	NOUN
ajst-30543	136	31	(	(	PUNCT
ajst-30543	136	32	mv	mv	NOUN
ajst-30543	136	33	)	)	PUNCT
ajst-30543	136	34	rmse	rmse	NOUN
ajst-30543	136	35	error	error	NOUN
ajst-30543	136	36	(	(	PUNCT
ajst-30543	136	37	mv	mv	PROPN
ajst-30543	136	38	)	)	PUNCT
ajst-30543	136	39	3.1	3.1	NUM
ajst-30543	136	40	5.1	5.1	NUM
ajst-30543	136	41	14.1	14.1	NUM
ajst-30543	136	42	18.1	18.1	NUM
ajst-30543	136	43	15.4	15.4	NUM
ajst-30543	136	44	19.6	19.6	NUM
ajst-30543	136	45	ultracapacitor	ultracapacitor	NOUN
ajst-30543	136	46	mae	mae	NOUN
ajst-30543	136	47	error	error	NOUN
ajst-30543	136	48	(	(	PUNCT
ajst-30543	136	49	mv	mv	NOUN
ajst-30543	136	50	)	)	PUNCT
ajst-30543	136	51	rmse	rmse	NOUN
ajst-30543	136	52	error	error	NOUN
ajst-30543	136	53	(	(	PUNCT
ajst-30543	136	54	mv	mv	PROPN
ajst-30543	136	55	)	)	PUNCT
ajst-30543	136	56	1.7	1.7	NUM
ajst-30543	136	57	2.5	2.5	NUM
ajst-30543	136	58	2.0	2.0	NUM
ajst-30543	136	59	2.7	2.7	NUM
ajst-30543	136	60	2.0	2.0	NUM
ajst-30543	136	61	2.9	2.9	NUM
ajst-30543	136	62	5	5	NUM
ajst-30543	136	63	.	.	PUNCT
ajst-30543	137	1	conclusion	conclusion	NOUN
ajst-30543	137	2	this	this	DET
ajst-30543	137	3	paper	paper	NOUN
ajst-30543	137	4	takes	take	VERB
ajst-30543	137	5	batteries	battery	NOUN
ajst-30543	137	6	and	and	CCONJ
ajst-30543	137	7	ultracapacitors	ultracapacitor	NOUN
ajst-30543	137	8	as	as	ADP
ajst-30543	137	9	the	the	DET
ajst-30543	137	10	research	research	NOUN
ajst-30543	137	11	core	core	NOUN
ajst-30543	137	12	.	.	PUNCT
ajst-30543	138	1	to	to	PART
ajst-30543	138	2	address	address	VERB
ajst-30543	138	3	the	the	DET
ajst-30543	138	4	problem	problem	NOUN
ajst-30543	138	5	of	of	ADP
ajst-30543	138	6	accurate	accurate	ADJ
ajst-30543	138	7	identification	identification	NOUN
ajst-30543	138	8	of	of	ADP
ajst-30543	138	9	model	model	NOUN
ajst-30543	138	10	parameters	parameter	NOUN
ajst-30543	138	11	of	of	ADP
ajst-30543	138	12	batteries	battery	NOUN
ajst-30543	138	13	and	and	CCONJ
ajst-30543	138	14	supercapacitors	supercapacitor	NOUN
ajst-30543	138	15	,	,	PUNCT
ajst-30543	138	16	based	base	VERB
ajst-30543	138	17	on	on	ADP
ajst-30543	138	18	the	the	DET
ajst-30543	138	19	full	full	ADJ
ajst-30543	138	20	consideration	consideration	NOUN
ajst-30543	138	21	of	of	ADP
ajst-30543	138	22	the	the	DET
ajst-30543	138	23	operating	operating	NOUN
ajst-30543	138	24	characteristics	characteristic	NOUN
ajst-30543	138	25	of	of	ADP
ajst-30543	138	26	the	the	DET
ajst-30543	138	27	two	two	NUM
ajst-30543	138	28	and	and	CCONJ
ajst-30543	138	29	past	past	ADJ
ajst-30543	138	30	research	research	NOUN
ajst-30543	138	31	experience	experience	NOUN
ajst-30543	138	32	.	.	PUNCT
ajst-30543	139	1	three	three	NUM
ajst-30543	139	2	intelligent	intelligent	ADJ
ajst-30543	139	3	optimization	optimization	NOUN
ajst-30543	139	4	algorithms	algorithm	NOUN
ajst-30543	139	5	applicable	applicable	ADJ
ajst-30543	139	6	to	to	PART
ajst-30543	139	7	parameter	parameter	NOUN
ajst-30543	139	8	identification	identification	NOUN
ajst-30543	139	9	are	be	AUX
ajst-30543	139	10	first	first	ADV
ajst-30543	139	11	identified	identify	VERB
ajst-30543	139	12	,	,	PUNCT
ajst-30543	139	13	and	and	CCONJ
ajst-30543	139	14	the	the	DET
ajst-30543	139	15	corresponding	corresponding	ADJ
ajst-30543	139	16	algorithm	algorithm	NOUN
ajst-30543	139	17	parameters	parameter	NOUN
ajst-30543	139	18	and	and	CCONJ
ajst-30543	139	19	evaluation	evaluation	NOUN
ajst-30543	139	20	criteria	criterion	NOUN
ajst-30543	139	21	are	be	AUX
ajst-30543	139	22	set	set	VERB
ajst-30543	139	23	.	.	PUNCT
ajst-30543	140	1	subsequently	subsequently	ADV
ajst-30543	140	2	,	,	PUNCT
ajst-30543	140	3	a	a	DET
ajst-30543	140	4	systematic	systematic	ADJ
ajst-30543	140	5	parameter	parameter	NOUN
ajst-30543	140	6	identification	identification	NOUN
ajst-30543	140	7	process	process	NOUN
ajst-30543	140	8	was	be	AUX
ajst-30543	140	9	designed	design	VERB
ajst-30543	140	10	based	base	VERB
ajst-30543	140	11	on	on	ADP
ajst-30543	140	12	these	these	DET
ajst-30543	140	13	three	three	NUM
ajst-30543	140	14	172	172	NUM
ajst-30543	140	15	selected	select	VERB
ajst-30543	140	16	intelligent	intelligent	ADJ
ajst-30543	140	17	optimisation	optimisation	NOUN
ajst-30543	140	18	algorithms	algorithm	NOUN
ajst-30543	140	19	grey	grey	PROPN
ajst-30543	140	20	wolf	wolf	PROPN
ajst-30543	140	21	optimisation	optimisation	NOUN
ajst-30543	140	22	(	(	PUNCT
ajst-30543	140	23	gwo	gwo	PROPN
ajst-30543	140	24	)	)	PUNCT
ajst-30543	140	25	,	,	PUNCT
ajst-30543	140	26	particle	particle	NOUN
ajst-30543	140	27	swarm	swarm	NOUN
ajst-30543	140	28	optimisation	optimisation	NOUN
ajst-30543	140	29	(	(	PUNCT
ajst-30543	140	30	pso	pso	NOUN
ajst-30543	140	31	)	)	PUNCT
ajst-30543	140	32	and	and	CCONJ
ajst-30543	140	33	genetic	genetic	ADJ
ajst-30543	140	34	algorithms	algorithm	NOUN
ajst-30543	140	35	(	(	PUNCT
ajst-30543	140	36	ga	ga	NOUN
ajst-30543	140	37	)	)	PUNCT
ajst-30543	140	38	.	.	PUNCT
ajst-30543	141	1	the	the	DET
ajst-30543	141	2	identification	identification	NOUN
ajst-30543	141	3	results	result	NOUN
ajst-30543	141	4	of	of	ADP
ajst-30543	141	5	the	the	DET
ajst-30543	141	6	algorithms	algorithm	NOUN
ajst-30543	141	7	are	be	AUX
ajst-30543	141	8	discussed	discuss	VERB
ajst-30543	141	9	and	and	CCONJ
ajst-30543	141	10	analysed	analyse	VERB
ajst-30543	141	11	in	in	ADP
ajst-30543	141	12	depth	depth	NOUN
ajst-30543	141	13	under	under	ADP
ajst-30543	141	14	uniform	uniform	NOUN
ajst-30543	141	15	udds	udds	PROPN
ajst-30543	141	16	working	working	NOUN
ajst-30543	141	17	conditions	condition	NOUN
ajst-30543	141	18	.	.	PUNCT
ajst-30543	142	1	simulation	simulation	NOUN
ajst-30543	142	2	results	result	NOUN
ajst-30543	142	3	show	show	VERB
ajst-30543	142	4	that	that	SCONJ
ajst-30543	142	5	the	the	DET
ajst-30543	142	6	designed	design	VERB
ajst-30543	142	7	parameter	parameter	NOUN
ajst-30543	142	8	identification	identification	NOUN
ajst-30543	142	9	process	process	NOUN
ajst-30543	142	10	can	can	AUX
ajst-30543	142	11	accurately	accurately	ADV
ajst-30543	142	12	identify	identify	VERB
ajst-30543	142	13	the	the	DET
ajst-30543	142	14	model	model	NOUN
ajst-30543	142	15	parameters	parameter	NOUN
ajst-30543	142	16	of	of	ADP
ajst-30543	142	17	the	the	DET
ajst-30543	142	18	battery	battery	NOUN
ajst-30543	142	19	and	and	CCONJ
ajst-30543	142	20	ultracapacitor	ultracapacitor	NOUN
ajst-30543	142	21	.	.	PUNCT
ajst-30543	143	1	in	in	ADP
ajst-30543	143	2	addition	addition	NOUN
ajst-30543	143	3	,	,	PUNCT
ajst-30543	143	4	while	while	SCONJ
ajst-30543	143	5	ensuring	ensure	VERB
ajst-30543	143	6	the	the	DET
ajst-30543	143	7	stability	stability	NOUN
ajst-30543	143	8	and	and	CCONJ
ajst-30543	143	9	efficiency	efficiency	NOUN
ajst-30543	143	10	of	of	ADP
ajst-30543	143	11	the	the	DET
ajst-30543	143	12	recognition	recognition	NOUN
ajst-30543	143	13	process	process	NOUN
ajst-30543	143	14	,	,	PUNCT
ajst-30543	143	15	the	the	DET
ajst-30543	143	16	gwo	gwo	PROPN
ajst-30543	143	17	algorithm	algorithm	PROPN
ajst-30543	143	18	demonstrates	demonstrate	VERB
ajst-30543	143	19	superior	superior	ADJ
ajst-30543	143	20	recognition	recognition	NOUN
ajst-30543	143	21	accuracy	accuracy	NOUN
ajst-30543	143	22	compared	compare	VERB
ajst-30543	143	23	to	to	ADP
ajst-30543	143	24	pso	pso	NOUN
ajst-30543	143	25	and	and	CCONJ
ajst-30543	143	26	ga	ga	PROPN
ajst-30543	143	27	.	.	PROPN
ajst-30543	143	28	specifically	specifically	ADV
ajst-30543	143	29	,	,	PUNCT
ajst-30543	143	30	gwo	gwo	PROPN
ajst-30543	143	31	reduces	reduce	VERB
ajst-30543	143	32	the	the	DET
ajst-30543	143	33	average	average	ADJ
ajst-30543	143	34	absolute	absolute	ADJ
ajst-30543	143	35	error	error	NOUN
ajst-30543	143	36	by	by	ADP
ajst-30543	143	37	15	15	NUM
ajst-30543	143	38	%	%	NOUN
ajst-30543	143	39	compared	compare	VERB
ajst-30543	143	40	with	with	ADP
ajst-30543	143	41	pso	pso	NOUN
ajst-30543	143	42	and	and	CCONJ
ajst-30543	143	43	ga	ga	PROPN
ajst-30543	143	44	on	on	ADP
ajst-30543	143	45	the	the	DET
ajst-30543	143	46	ultracapacitor	ultracapacitor	NOUN
ajst-30543	143	47	model	model	NOUN
ajst-30543	143	48	;	;	PUNCT
ajst-30543	143	49	the	the	DET
ajst-30543	143	50	root	root	NOUN
ajst-30543	143	51	mean	mean	VERB
ajst-30543	143	52	square	square	ADJ
ajst-30543	143	53	error	error	NOUN
ajst-30543	143	54	is	be	AUX
ajst-30543	143	55	reduced	reduce	VERB
ajst-30543	143	56	by	by	ADP
ajst-30543	143	57	7.4	7.4	NUM
ajst-30543	143	58	%	%	NOUN
ajst-30543	143	59	and	and	CCONJ
ajst-30543	143	60	13.8	13.8	NUM
ajst-30543	143	61	%	%	NOUN
ajst-30543	143	62	,	,	PUNCT
ajst-30543	143	63	respectively	respectively	ADV
ajst-30543	143	64	.	.	PUNCT
ajst-30543	144	1	the	the	DET
ajst-30543	144	2	higher	high	ADJ
ajst-30543	144	3	accuracy	accuracy	NOUN
ajst-30543	144	4	and	and	CCONJ
ajst-30543	144	5	the	the	DET
ajst-30543	144	6	stability	stability	NOUN
ajst-30543	144	7	of	of	ADP
ajst-30543	144	8	the	the	DET
ajst-30543	144	9	identification	identification	NOUN
ajst-30543	144	10	results	result	NOUN
ajst-30543	144	11	are	be	AUX
ajst-30543	144	12	also	also	ADV
ajst-30543	144	13	more	more	ADV
ajst-30543	144	14	prominent	prominent	ADJ
ajst-30543	144	15	,	,	PUNCT
ajst-30543	144	16	thus	thus	ADV
ajst-30543	144	17	verifying	verify	VERB
ajst-30543	144	18	the	the	DET
ajst-30543	144	19	significant	significant	ADJ
ajst-30543	144	20	advantages	advantage	NOUN
ajst-30543	144	21	of	of	ADP
ajst-30543	144	22	the	the	DET
ajst-30543	144	23	gwo	gwo	PROPN
ajst-30543	144	24	algorithm	algorithm	NOUN
ajst-30543	144	25	in	in	ADP
ajst-30543	144	26	the	the	DET
ajst-30543	144	27	field	field	NOUN
ajst-30543	144	28	of	of	ADP
ajst-30543	144	29	battery	battery	NOUN
ajst-30543	144	30	and	and	CCONJ
ajst-30543	144	31	ultracapacitor	ultracapacitor	NOUN
ajst-30543	144	32	model	model	NOUN
ajst-30543	144	33	parameter	parameter	NOUN
ajst-30543	144	34	identification	identification	NOUN
ajst-30543	144	35	.	.	PUNCT
ajst-30543	145	1	conflicts	conflict	NOUN
ajst-30543	145	2	of	of	ADP
ajst-30543	145	3	interest	interest	NOUN
ajst-30543	145	4	the	the	DET
ajst-30543	145	5	authors	author	NOUN
ajst-30543	145	6	declare	declare	VERB
ajst-30543	145	7	that	that	SCONJ
ajst-30543	145	8	they	they	PRON
ajst-30543	145	9	have	have	VERB
ajst-30543	145	10	no	no	DET
ajst-30543	145	11	conflict	conflict	NOUN
ajst-30543	145	12	of	of	ADP
ajst-30543	145	13	interest	interest	NOUN
ajst-30543	145	14	.	.	PUNCT
ajst-30543	146	1	acknowledgements	acknowledgement	NOUN
ajst-30543	146	2	this	this	DET
ajst-30543	146	3	research	research	NOUN
ajst-30543	146	4	was	be	AUX
ajst-30543	146	5	funded	fund	VERB
ajst-30543	146	6	by	by	ADP
ajst-30543	146	7	the	the	DET
ajst-30543	146	8	graduate	graduate	PROPN
ajst-30543	146	9	innovation	innovation	PROPN
ajst-30543	146	10	foundation	foundation	PROPN
ajst-30543	146	11	of	of	ADP
ajst-30543	146	12	sichuan	sichuan	PROPN
ajst-30543	146	13	university	university	PROPN
ajst-30543	146	14	of	of	ADP
ajst-30543	146	15	science	science	PROPN
ajst-30543	146	16	&	&	CCONJ
ajst-30543	146	17	engineering	engineering	PROPN
ajst-30543	146	18	(	(	PUNCT
ajst-30543	146	19	grant	grant	VERB
ajst-30543	146	20	no	no	INTJ
ajst-30543	146	21	.	.	PUNCT
ajst-30543	146	22	y2023090	y2023090	PROPN
ajst-30543	146	23	)	)	PUNCT
ajst-30543	146	24	.	.	PUNCT
ajst-30543	147	1	the	the	DET
ajst-30543	147	2	systemic	systemic	ADJ
ajst-30543	147	3	experiments	experiment	NOUN
ajst-30543	147	4	were	be	AUX
ajst-30543	147	5	performed	perform	VERB
ajst-30543	147	6	at	at	ADP
ajst-30543	147	7	the	the	DET
ajst-30543	147	8	advanced	advanced	ADJ
ajst-30543	147	9	energy	energy	NOUN
ajst-30543	147	10	storage	storage	NOUN
ajst-30543	147	11	and	and	CCONJ
ajst-30543	147	12	application	application	NOUN
ajst-30543	147	13	(	(	PUNCT
ajst-30543	147	14	aesa	aesa	NOUN
ajst-30543	147	15	)	)	PUNCT
ajst-30543	147	16	group	group	NOUN
ajst-30543	147	17	,	,	PUNCT
ajst-30543	147	18	beijing	beijing	PROPN
ajst-30543	147	19	institute	institute	PROPN
ajst-30543	147	20	of	of	ADP
ajst-30543	147	21	technology	technology	PROPN
ajst-30543	147	22	.	.	PUNCT
ajst-30543	148	1	references	reference	NOUN
ajst-30543	148	2	[	[	X
ajst-30543	148	3	1	1	NUM
ajst-30543	148	4	]	]	PUNCT
ajst-30543	148	5	xiong	xiong	PROPN
ajst-30543	148	6	r	r	PROPN
ajst-30543	148	7	,	,	PUNCT
ajst-30543	148	8	sun	sun	PROPN
ajst-30543	148	9	w	w	PROPN
ajst-30543	148	10	,	,	PUNCT
ajst-30543	148	11	yu	yu	PROPN
ajst-30543	148	12	q	q	PROPN
ajst-30543	148	13	,	,	PUNCT
ajst-30543	148	14	sun	sun	PROPN
ajst-30543	148	15	f.	f.	PROPN
ajst-30543	148	16	research	research	PROPN
ajst-30543	148	17	progress	progress	NOUN
ajst-30543	148	18	,	,	PUNCT
ajst-30543	148	19	challenges	challenge	NOUN
ajst-30543	148	20	and	and	CCONJ
ajst-30543	148	21	prospects	prospect	NOUN
ajst-30543	148	22	of	of	ADP
ajst-30543	148	23	fault	fault	NOUN
ajst-30543	148	24	diagnosis	diagnosis	NOUN
ajst-30543	148	25	on	on	ADP
ajst-30543	148	26	battery	battery	NOUN
ajst-30543	148	27	system	system	NOUN
ajst-30543	148	28	of	of	ADP
ajst-30543	148	29	electric	electric	ADJ
ajst-30543	148	30	vehicles	vehicle	NOUN
ajst-30543	148	31	.	.	PUNCT
ajst-30543	149	1	applied	apply	VERB
ajst-30543	149	2	energy	energy	NOUN
ajst-30543	149	3	2020;279:115855	2020;279:115855	NOUN
ajst-30543	149	4	.	.	PUNCT
ajst-30543	150	1	https://doi.org/10.1016/j.apenergy.2020.115855	https://doi.org/10.1016/j.apenergy.2020.115855	PROPN
ajst-30543	150	2	.	.	PUNCT
ajst-30543	151	1	[	[	X
ajst-30543	151	2	2	2	X
ajst-30543	151	3	]	]	PUNCT
ajst-30543	151	4	wang	wang	PROPN
ajst-30543	151	5	c	c	PROPN
ajst-30543	151	6	,	,	PUNCT
ajst-30543	151	7	he	he	PRON
ajst-30543	151	8	h	h	VERB
ajst-30543	151	9	,	,	PUNCT
ajst-30543	151	10	zhang	zhang	PROPN
ajst-30543	151	11	y	y	PROPN
ajst-30543	151	12	,	,	PUNCT
ajst-30543	151	13	mu	mu	PROPN
ajst-30543	151	14	h.	h.	PROPN
ajst-30543	151	15	a	a	DET
ajst-30543	151	16	comparative	comparative	ADJ
ajst-30543	151	17	study	study	NOUN
ajst-30543	151	18	on	on	ADP
ajst-30543	151	19	the	the	DET
ajst-30543	151	20	applicability	applicability	NOUN
ajst-30543	151	21	of	of	ADP
ajst-30543	151	22	ultracapacitor	ultracapacitor	NOUN
ajst-30543	151	23	models	model	NOUN
ajst-30543	151	24	for	for	ADP
ajst-30543	151	25	electric	electric	ADJ
ajst-30543	151	26	vehicles	vehicle	NOUN
ajst-30543	151	27	under	under	ADP
ajst-30543	151	28	different	different	ADJ
ajst-30543	151	29	temperatures	temperature	NOUN
ajst-30543	151	30	.	.	PUNCT
ajst-30543	152	1	applied	apply	VERB
ajst-30543	152	2	energy	energy	NOUN
ajst-30543	152	3	2017	2017	NUM
ajst-30543	152	4	;	;	PUNCT
ajst-30543	152	5	196:26878	196:26878	NUM
ajst-30543	152	6	.	.	PUNCT
ajst-30543	152	7	https://doi.org/10.1016/j.apenergy.2017.03.060	https://doi.org/10.1016/j.apenergy.2017.03.060	NOUN
ajst-30543	152	8	.	.	PUNCT
ajst-30543	153	1	[	[	X
ajst-30543	153	2	3	3	X
ajst-30543	153	3	]	]	X
ajst-30543	153	4	wang	wang	PROPN
ajst-30543	153	5	c.	c.	PROPN
ajst-30543	153	6	research	research	PROPN
ajst-30543	153	7	on	on	ADP
ajst-30543	153	8	modelling	modelling	NOUN
ajst-30543	153	9	and	and	CCONJ
ajst-30543	153	10	energy	energy	NOUN
ajst-30543	153	11	management	management	NOUN
ajst-30543	153	12	strategies	strategy	NOUN
ajst-30543	153	13	for	for	ADP
ajst-30543	153	14	automotive	automotive	ADJ
ajst-30543	153	15	composite	composite	ADJ
ajst-30543	153	16	power	power	NOUN
ajst-30543	153	17	systems	system	NOUN
ajst-30543	153	18	[	[	X
ajst-30543	153	19	d	d	X
ajst-30543	153	20	]	]	X
ajst-30543	153	21	.	.	PUNCT
ajst-30543	154	1	beijing	beijing	PROPN
ajst-30543	154	2	institute	institute	PROPN
ajst-30543	154	3	of	of	ADP
ajst-30543	154	4	technology	technology	PROPN
ajst-30543	154	5	,	,	PUNCT
ajst-30543	154	6	2018.doi	2018.doi	NUM
ajst-30543	154	7	:	:	PUNCT
ajst-30543	154	8	10.26948	10.26948	NUM
ajst-30543	154	9	/	/	SYM
ajst-30543	154	10	d.cnki.gbjlu.2018.000173	d.cnki.gbjlu.2018.000173	PROPN
ajst-30543	154	11	.	.	PUNCT
ajst-30543	155	1	[	[	X
ajst-30543	155	2	4	4	X
ajst-30543	155	3	]	]	PUNCT
ajst-30543	155	4	xiong	xiong	PROPN
ajst-30543	155	5	r	r	PROPN
ajst-30543	155	6	,	,	PUNCT
ajst-30543	155	7	li	li	PROPN
ajst-30543	155	8	z	z	PROPN
ajst-30543	155	9	,	,	PUNCT
ajst-30543	155	10	yang	yang	PROPN
ajst-30543	155	11	r	r	PROPN
ajst-30543	155	12	,	,	PUNCT
ajst-30543	155	13	shen	shen	PROPN
ajst-30543	155	14	w	w	PROPN
ajst-30543	155	15	,	,	PUNCT
ajst-30543	155	16	ma	ma	PROPN
ajst-30543	155	17	s	s	PROPN
ajst-30543	155	18	,	,	PUNCT
ajst-30543	155	19	sun	sun	PROPN
ajst-30543	155	20	f.	f.	PROPN
ajst-30543	155	21	fast	fast	VERB
ajst-30543	155	22	self	self	NOUN
ajst-30543	155	23	-	-	PUNCT
ajst-30543	155	24	heating	heat	VERB
ajst-30543	155	25	battery	battery	NOUN
ajst-30543	155	26	with	with	ADP
ajst-30543	155	27	anti	anti	ADJ
ajst-30543	155	28	-	-	ADJ
ajst-30543	155	29	aging	age	VERB
ajst-30543	155	30	awareness	awareness	NOUN
ajst-30543	155	31	for	for	ADP
ajst-30543	155	32	freezing	freeze	VERB
ajst-30543	155	33	climate	climate	NOUN
ajst-30543	155	34	applications	application	NOUN
ajst-30543	155	35	.	.	PUNCT
ajst-30543	156	1	applied	apply	VERB
ajst-30543	156	2	energy	energy	NOUN
ajst-30543	156	3	2022	2022	NUM
ajst-30543	156	4	;	;	PUNCT
ajst-30543	156	5	324:119762	324:119762	NUM
ajst-30543	156	6	.	.	PUNCT
ajst-30543	157	1	https://doi.org/10.1016/j.apenergy.2022.119762	https://doi.org/10.1016/j.apenergy.2022.119762	NOUN
ajst-30543	157	2	.	.	PUNCT
ajst-30543	158	1	[	[	X
ajst-30543	158	2	5	5	X
ajst-30543	158	3	]	]	X
ajst-30543	158	4	lin	lin	PROPN
ajst-30543	158	5	c	c	PROPN
ajst-30543	158	6	,	,	PUNCT
ajst-30543	158	7	mu	mu	PROPN
ajst-30543	158	8	h	h	PROPN
ajst-30543	158	9	,	,	PUNCT
ajst-30543	158	10	xiong	xiong	PROPN
ajst-30543	158	11	r	r	PROPN
ajst-30543	158	12	,	,	PUNCT
ajst-30543	158	13	shen	shen	PROPN
ajst-30543	158	14	w.	w.	PROPN
ajst-30543	159	1	a	a	DET
ajst-30543	159	2	novel	novel	ADJ
ajst-30543	159	3	multi	multi	ADJ
ajst-30543	159	4	-	-	ADJ
ajst-30543	159	5	model	model	ADJ
ajst-30543	159	6	probability	probability	NOUN
ajst-30543	159	7	battery	battery	NOUN
ajst-30543	159	8	state	state	NOUN
ajst-30543	159	9	of	of	ADP
ajst-30543	159	10	charge	charge	NOUN
ajst-30543	159	11	estimation	estimation	NOUN
ajst-30543	159	12	approach	approach	NOUN
ajst-30543	159	13	for	for	ADP
ajst-30543	159	14	electric	electric	ADJ
ajst-30543	159	15	vehicles	vehicle	NOUN
ajst-30543	159	16	using	use	VERB
ajst-30543	159	17	h	h	NOUN
ajst-30543	159	18	-	-	PUNCT
ajst-30543	159	19	infinity	infinity	NOUN
ajst-30543	159	20	algorithm	algorithm	NOUN
ajst-30543	159	21	.	.	PUNCT
ajst-30543	160	1	applied	apply	VERB
ajst-30543	160	2	energy	energy	NOUN
ajst-30543	160	3	2016	2016	NUM
ajst-30543	160	4	;	;	PUNCT
ajst-30543	160	5	166:76	166:76	NUM
ajst-30543	160	6	-	-	SYM
ajst-30543	160	7	83	83	NUM
ajst-30543	160	8	.	.	PUNCT
ajst-30543	161	1	https://doi.org/10.1016/j.apenergy.2016.01.010	https://doi.org/10.1016/j.apenergy.2016.01.010	PROPN
ajst-30543	161	2	.	.	PUNCT
ajst-30543	162	1	[	[	X
ajst-30543	162	2	6	6	NUM
ajst-30543	162	3	]	]	X
ajst-30543	162	4	jamadar	jamadar	PROPN
ajst-30543	162	5	nm	nm	PROPN
ajst-30543	162	6	,	,	PUNCT
ajst-30543	162	7	jadhav	jadhav	PROPN
ajst-30543	162	8	ht	ht	PROPN
ajst-30543	162	9	.	.	PROPN
ajst-30543	162	10	effectiveness	effectiveness	NOUN
ajst-30543	162	11	of	of	ADP
ajst-30543	162	12	supercapacitor	supercapacitor	NOUN
ajst-30543	162	13	during	during	ADP
ajst-30543	162	14	braking	brake	VERB
ajst-30543	162	15	operation	operation	NOUN
ajst-30543	162	16	of	of	ADP
ajst-30543	162	17	electric	electric	ADJ
ajst-30543	162	18	vehicle	vehicle	NOUN
ajst-30543	162	19	.	.	PUNCT
ajst-30543	163	1	materials	material	NOUN
ajst-30543	163	2	today	today	NOUN
ajst-30543	163	3	:	:	PUNCT
ajst-30543	163	4	proceedings	proceeding	NOUN
ajst-30543	163	5	2022	2022	NUM
ajst-30543	163	6	;	;	PUNCT
ajst-30543	163	7	56:314	56:314	NUM
ajst-30543	163	8	-	-	SYM
ajst-30543	163	9	9	9	NUM
ajst-30543	163	10	.	.	PUNCT
ajst-30543	164	1	https://doi.org/10.1016/j.matpr.2022.01.168	https://doi.org/10.1016/j.matpr.2022.01.168	NOUN
ajst-30543	164	2	.	.	PUNCT
ajst-30543	165	1	[	[	X
ajst-30543	165	2	7	7	X
ajst-30543	165	3	]	]	X
ajst-30543	165	4	li	li	PROPN
ajst-30543	165	5	h	h	PROPN
ajst-30543	165	6	,	,	PUNCT
ajst-30543	165	7	yang	yang	PROPN
ajst-30543	165	8	h	h	PROPN
ajst-30543	165	9	,	,	PUNCT
ajst-30543	165	10	xu	xu	PROPN
ajst-30543	165	11	c	c	X
ajst-30543	165	12	,	,	PUNCT
ajst-30543	165	13	yan	yan	PROPN
ajst-30543	165	14	j	j	PROPN
ajst-30543	165	15	,	,	PUNCT
ajst-30543	165	16	cen	cen	PROPN
ajst-30543	165	17	k	k	PROPN
ajst-30543	165	18	,	,	PUNCT
ajst-30543	165	19	ostrikov	ostrikov	PROPN
ajst-30543	165	20	k	k	PROPN
ajst-30543	165	21	(	(	PUNCT
ajst-30543	165	22	ken	ken	PROPN
ajst-30543	165	23	)	)	PUNCT
ajst-30543	165	24	,	,	PUNCT
ajst-30543	165	25	et	et	PROPN
ajst-30543	165	26	al	al	PROPN
ajst-30543	165	27	.	.	PROPN
ajst-30543	165	28	entropy	entropy	PROPN
ajst-30543	165	29	generation	generation	NOUN
ajst-30543	165	30	analysis	analysis	NOUN
ajst-30543	165	31	in	in	ADP
ajst-30543	165	32	supercapacitor	supercapacitor	ADJ
ajst-30543	165	33	modules	module	NOUN
ajst-30543	165	34	based	base	VERB
ajst-30543	165	35	on	on	ADP
ajst-30543	165	36	a	a	DET
ajst-30543	165	37	three	three	NUM
ajst-30543	165	38	-	-	PUNCT
ajst-30543	165	39	dimensional	dimensional	ADJ
ajst-30543	165	40	coupled	couple	VERB
ajst-30543	165	41	thermal	thermal	ADJ
ajst-30543	165	42	model	model	NOUN
ajst-30543	165	43	.	.	PUNCT
ajst-30543	166	1	energy	energy	NOUN
ajst-30543	166	2	2022	2022	NUM
ajst-30543	166	3	;	;	PUNCT
ajst-30543	166	4	244:123218	244:123218	NUM
ajst-30543	166	5	.	.	PUNCT
ajst-30543	166	6	https://doi.org/10.1016/j.energy.2022.123218	https://doi.org/10.1016/j.energy.2022.123218	NOUN
ajst-30543	166	7	.	.	PUNCT
ajst-30543	167	1	[	[	X
ajst-30543	167	2	8	8	NUM
ajst-30543	167	3	]	]	X
ajst-30543	167	4	mwambeleko	mwambeleko	PROPN
ajst-30543	167	5	jj	jj	PROPN
ajst-30543	167	6	,	,	PUNCT
ajst-30543	167	7	kulworawanichpong	kulworawanichpong	ADJ
ajst-30543	167	8	t.	t.	PROPN
ajst-30543	167	9	supercapacitor	supercapacitor	NOUN
ajst-30543	167	10	and	and	CCONJ
ajst-30543	167	11	accelerating	accelerate	VERB
ajst-30543	167	12	contact	contact	NOUN
ajst-30543	167	13	lines	line	NOUN
ajst-30543	167	14	hybrid	hybrid	ADJ
ajst-30543	167	15	tram	tram	PROPN
ajst-30543	167	16	system	system	NOUN
ajst-30543	167	17	.	.	PUNCT
ajst-30543	168	1	journal	journal	PROPN
ajst-30543	168	2	of	of	ADP
ajst-30543	168	3	energy	energy	NOUN
ajst-30543	168	4	storage	storage	NOUN
ajst-30543	168	5	2021	2021	NUM
ajst-30543	168	6	;	;	PUNCT
ajst-30543	168	7	44:103277	44:103277	NUM
ajst-30543	168	8	.	.	PUNCT
ajst-30543	169	1	https://doi.org/10.1016/j.est.2021.103277	https://doi.org/10.1016/j.est.2021.103277	PROPN
ajst-30543	169	2	.	.	PUNCT
ajst-30543	170	1	[	[	X
ajst-30543	170	2	9	9	NUM
ajst-30543	170	3	]	]	X
ajst-30543	170	4	zhang	zhang	PROPN
ajst-30543	170	5	s	s	PROPN
ajst-30543	170	6	,	,	PUNCT
ajst-30543	170	7	zhang	zhang	PROPN
ajst-30543	170	8	q	q	PROPN
ajst-30543	170	9	,	,	PUNCT
ajst-30543	170	10	liu	liu	PROPN
ajst-30543	170	11	d	d	PROPN
ajst-30543	170	12	,	,	PUNCT
ajst-30543	170	13	dai	dai	PROPN
ajst-30543	170	14	x	x	PROPN
ajst-30543	170	15	,	,	PUNCT
ajst-30543	170	16	zhang	zhang	PROPN
ajst-30543	170	17	x.	x.	PROPN
ajst-30543	170	18	state	state	PROPN
ajst-30543	170	19	-	-	PUNCT
ajst-30543	170	20	of	of	ADP
ajst-30543	170	21	-	-	PUNCT
ajst-30543	170	22	charge	charge	NOUN
ajst-30543	170	23	estimation	estimation	NOUN
ajst-30543	170	24	for	for	ADP
ajst-30543	170	25	lithium	lithium	NOUN
ajst-30543	170	26	-	-	PUNCT
ajst-30543	170	27	ion	ion	NOUN
ajst-30543	170	28	battery	battery	NOUN
ajst-30543	170	29	during	during	ADP
ajst-30543	170	30	constant	constant	ADJ
ajst-30543	170	31	current	current	ADJ
ajst-30543	170	32	charging	charging	NOUN
ajst-30543	170	33	process	process	NOUN
ajst-30543	170	34	based	base	VERB
ajst-30543	170	35	on	on	ADP
ajst-30543	170	36	model	model	NOUN
ajst-30543	170	37	parameters	parameter	NOUN
ajst-30543	170	38	updated	update	VERB
ajst-30543	170	39	periodically	periodically	ADV
ajst-30543	170	40	.	.	PUNCT
ajst-30543	171	1	energy	energy	NOUN
ajst-30543	171	2	2022	2022	NUM
ajst-30543	171	3	;	;	PUNCT
ajst-30543	171	4	257:124770	257:124770	X
ajst-30543	171	5	.	.	PUNCT
ajst-30543	172	1	https://doi.org/10.1016/j.energy.2022.124770	https://doi.org/10.1016/j.energy.2022.124770	ADJ
ajst-30543	172	2	.	.	PUNCT
ajst-30543	173	1	[	[	X
ajst-30543	173	2	10	10	NUM
ajst-30543	173	3	]	]	X
ajst-30543	173	4	wang	wang	PROPN
ajst-30543	173	5	c	c	PROPN
ajst-30543	173	6	,	,	PUNCT
ajst-30543	173	7	fang	fang	PROPN
ajst-30543	173	8	c	c	PROPN
ajst-30543	173	9	,	,	PUNCT
ajst-30543	173	10	tang	tang	X
ajst-30543	173	11	a	a	PROPN
ajst-30543	173	12	,	,	PUNCT
ajst-30543	173	13	huang	huang	PROPN
ajst-30543	173	14	b	b	PROPN
ajst-30543	173	15	,	,	PUNCT
ajst-30543	173	16	zhang	zhang	PROPN
ajst-30543	173	17	z.	z.	PROPN
ajst-30543	173	18	a	a	DET
ajst-30543	173	19	novel	novel	ADJ
ajst-30543	173	20	ultracapacitor	ultracapacitor	NOUN
ajst-30543	173	21	state	state	NOUN
ajst-30543	173	22	-	-	PUNCT
ajst-30543	173	23	of	of	ADP
ajst-30543	173	24	-	-	PUNCT
ajst-30543	173	25	charge	charge	NOUN
ajst-30543	173	26	fusion	fusion	NOUN
ajst-30543	173	27	estimation	estimation	NOUN
ajst-30543	173	28	method	method	NOUN
ajst-30543	173	29	for	for	ADP
ajst-30543	173	30	electric	electric	ADJ
ajst-30543	173	31	vehicles	vehicle	NOUN
ajst-30543	173	32	considering	consider	VERB
ajst-30543	173	33	temperature	temperature	NOUN
ajst-30543	173	34	uncertainty	uncertainty	NOUN
ajst-30543	173	35	.	.	PUNCT
ajst-30543	174	1	energies	energy	NOUN
ajst-30543	174	2	2022	2022	NUM
ajst-30543	174	3	;	;	PUNCT
ajst-30543	174	4	15:4309	15:4309	NUM
ajst-30543	174	5	.	.	PUNCT
ajst-30543	175	1	https://doi.org/10.3390/en15124309	https://doi.org/10.3390/en15124309	X
ajst-30543	175	2	.	.	PUNCT
ajst-30543	176	1	[	[	X
ajst-30543	176	2	11	11	NUM
ajst-30543	176	3	]	]	PUNCT
ajst-30543	176	4	ullah	ullah	PROPN
ajst-30543	176	5	i	i	PROPN
ajst-30543	176	6	,	,	PUNCT
ajst-30543	176	7	liu	liu	PROPN
ajst-30543	176	8	k	k	PROPN
ajst-30543	176	9	,	,	PUNCT
ajst-30543	176	10	yamamoto	yamamoto	PROPN
ajst-30543	176	11	t	t	PROPN
ajst-30543	176	12	,	,	PUNCT
ajst-30543	176	13	shafiullah	shafiullah	PROPN
ajst-30543	176	14	m	m	PROPN
ajst-30543	176	15	,	,	PUNCT
ajst-30543	176	16	jamal	jamal	PROPN
ajst-30543	176	17	a.	a.	PROPN
ajst-30543	176	18	grey	grey	PROPN
ajst-30543	176	19	wolf	wolf	PROPN
ajst-30543	176	20	optimizer	optimizer	NOUN
ajst-30543	176	21	-	-	PUNCT
ajst-30543	176	22	based	base	VERB
ajst-30543	176	23	machine	machine	NOUN
ajst-30543	176	24	learning	learn	VERB
ajst-30543	176	25	algorithm	algorithm	NOUN
ajst-30543	176	26	to	to	PART
ajst-30543	176	27	predict	predict	VERB
ajst-30543	176	28	electric	electric	ADJ
ajst-30543	176	29	vehicle	vehicle	NOUN
ajst-30543	176	30	charging	charge	VERB
ajst-30543	176	31	duration	duration	NOUN
ajst-30543	176	32	time	time	NOUN
ajst-30543	176	33	.	.	PUNCT
ajst-30543	177	1	transportation	transportation	NOUN
ajst-30543	177	2	letters	letter	NOUN
ajst-30543	177	3	2023	2023	NUM
ajst-30543	177	4	;	;	PUNCT
ajst-30543	177	5	15:889	15:889	PROPN
ajst-30543	177	6	-	-	SYM
ajst-30543	177	7	906	906	NUM
ajst-30543	177	8	.	.	PUNCT
ajst-30543	178	1	https://doi.org/10.1080/19427867.2022.2111902	https://doi.org/10.1080/19427867.2022.2111902	PROPN
ajst-30543	178	2	.	.	PUNCT
ajst-30543	179	1	[	[	X
ajst-30543	179	2	12	12	NUM
ajst-30543	179	3	]	]	X
ajst-30543	179	4	yan	yan	PROPN
ajst-30543	179	5	d.c	d.c	PROPN
ajst-30543	179	6	,	,	PUNCT
ajst-30543	179	7	ma	ma	PROPN
ajst-30543	179	8	c	c	PROPN
ajst-30543	179	9	,	,	PUNCT
ajst-30543	179	10	yang	yang	PROPN
ajst-30543	179	11	k	k	PROPN
ajst-30543	179	12	,	,	PUNCT
ajst-30543	179	13	et	et	PROPN
ajst-30543	179	14	al	al	PROPN
ajst-30543	179	15	.	.	PROPN
ajst-30543	179	16	development	development	NOUN
ajst-30543	179	17	of	of	ADP
ajst-30543	179	18	energy	energy	NOUN
ajst-30543	179	19	management	management	NOUN
ajst-30543	179	20	strategies	strategy	NOUN
ajst-30543	179	21	for	for	ADP
ajst-30543	179	22	extended	extended	ADJ
ajst-30543	179	23	range	range	NOUN
ajst-30543	179	24	vehicles	vehicle	NOUN
ajst-30543	179	25	based	base	VERB
ajst-30543	179	26	on	on	ADP
ajst-30543	179	27	operating	operating	NOUN
ajst-30543	179	28	conditions	condition	NOUN
ajst-30543	179	29	and	and	CCONJ
ajst-30543	179	30	particle	particle	NOUN
ajst-30543	179	31	swarm	swarm	NOUN
ajst-30543	179	32	optimization[j	optimization[j	NOUN
ajst-30543	179	33	]	]	PUNCT
ajst-30543	179	34	.	.	PUNCT
ajst-30543	180	1	science	science	NOUN
ajst-30543	180	2	,	,	PUNCT
ajst-30543	180	3	technology	technology	NOUN
ajst-30543	180	4	and	and	CCONJ
ajst-30543	180	5	engineering,2021,21(26):1139611404	engineering,2021,21(26):1139611404	NOUN
ajst-30543	180	6	.	.	PUNCT
ajst-30543	181	1	[	[	X
ajst-30543	181	2	13	13	NUM
ajst-30543	181	3	]	]	SYM
ajst-30543	181	4	li	li	PROPN
ajst-30543	181	5	y	y	PROPN
ajst-30543	181	6	,	,	PUNCT
ajst-30543	181	7	yuan	yuan	PROPN
ajst-30543	181	8	h.y	h.y	PROPN
ajst-30543	181	9	,	,	PUNCT
ajst-30543	181	10	yu	yu	PROPN
ajst-30543	181	11	j.q	j.q	PROPN
ajst-30543	181	12	,	,	PUNCT
ajst-30543	181	13	et	et	PROPN
ajst-30543	181	14	al	al	PROPN
ajst-30543	181	15	.	.	PUNCT
ajst-30543	182	1	a	a	DET
ajst-30543	182	2	review	review	NOUN
ajst-30543	182	3	of	of	ADP
ajst-30543	182	4	the	the	DET
ajst-30543	182	5	application	application	NOUN
ajst-30543	182	6	of	of	ADP
ajst-30543	182	7	genetic	genetic	ADJ
ajst-30543	182	8	algorithms	algorithm	NOUN
ajst-30543	182	9	to	to	ADP
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ajst-30543	182	11	problems[j	problems[j	NOUN
ajst-30543	182	12	]	]	PUNCT
ajst-30543	182	13	.	.	PUNCT
ajst-30543	183	1	shandong	shandong	PROPN
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ajst-30543	183	4	,	,	PUNCT
ajst-30543	183	5	(	(	PUNCT
ajst-30543	183	6	12):242	12):242	NUM
ajst-30543	183	7	-	-	SYM
ajst-30543	183	8	243	243	NUM
ajst-30543	183	9	+	+	NOUN
ajst-30543	183	10	180.doi	180.doi	NUM
ajst-30543	183	11	:	:	PUNCT
ajst-30543	183	12	10.16640	10.16640	NUM
ajst-30543	183	13	/	/	SYM
ajst-30543	183	14	j.cnki.37	j.cnki.37	NOUN
ajst-30543	183	15	-	-	PUNCT
ajst-30543	183	16	1222	1222	NUM
ajst-30543	183	17	/	/	SYM
ajst-30543	183	18	t.2019.12.210	t.2019.12.210	NOUN
ajst-30543	183	19	.	.	PUNCT