id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-4184	Subhashini.S	Linear Analysis of Optimal Energy Management in Hybrid Electric Vehicle using Evolutionary Algorithms	2025	12	.pdf	application/pdf	3567	185	45	When employing the NMR optimised PI controller for torque regulation, the battery's ultimate state of charge (SOC) is 42.54%, which is superior to previous algorithms. Figure 10 Torque Error Comparison – Scenario (iii) Conclusion In the proposed Energy Management System of the Hybrid Electric Vehicle model, this conclusion has provided an efficient way to best tune the gain parameters of PI controllers that control the torque and speed of the motor, generator, and ICE.	cache/cana-4184.pdf	txt/cana-4184.txt