Microsoft Word - Article 7 - 161-1297-1-LE.docx


ACTA IMEKO 
February 2015, Volume 4, Number 1, 35 – 43 
www.imeko.org 

 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 35 

Power system of the Guanay II AUV 

Ivan Masmitjà, Julián González, Gerard Masmitjà, Spartacus Gomáriz, Joaquín del‐Río‐Fernández 

 SARTI Reserch Group, Electronics Dept., Universitat Politècnica de Catalunya (UPC), Rambla Exposició 24, 08800, Vilanova i la Geltrú. 
Barcelona. Spain +(34) 938 967 200. www.cdsarti.org 

 

 

Section: RESEARCH PAPER  

Keywords: State of charge; batteries; AUV; Wireless connection; Ni‐Cd 

Citation: Ivan Masmitjà, Julián González, Gerard Masmitjà, Spartacus Gomáriz, Joaquín del‐Río‐Fernández, Power system of the Guanay II AUV, Acta IMEKO, 
vol. 4, no. 1, article 7, February 2015, identifier: IMEKO‐ACTA‐04 (2015)‐01‐07 

Editor: Paolo Carbone, University of Perugia  

Received December 12
th
, 2013; In final form November 8

th
, 2014; Published February 2015 

Copyright: © 2014 IMEKO. This is an open‐access article distributed under the terms of the Creative Commons Attribution 3.0 License, which permits 
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited 

Funding: This work was supported by the Spanish ministry of economy and competitiveness under the research project: “Sistemas inalambricos para la 
extension de observatories submarinos” (CTM2010‐15459) 

Corresponding author: Ivan Masmitjà, e‐mail: ivan.masmitja@upc.edu 

 

1. INTRODUCTION 

The study of the sea and oceans has become increasingly 
important among fishers and biologists especially because 
marine species change their behavior depending on 
environmental variables such as temperature, salinity and 
ph, among others [1]. For these oceanographic observations 
different tools are used. Aerospace technologies can focus 
on the study of the oceans at a global level but are unable to 
carry out detailed observations in a specific sector or depth. 
Oceanographic ships, on the other hand, can solve this 
problem but the actual planning and mission deployment 
required to obtain a satisfactory special-time resolution data 
are very expensive. As a solution to these needs, these tools 
are migrating towards the creation of autonomous marine 
vehicles. 

The autonomous underwater vehicle (AUV) Guanay II 
[2] [4] is a vehicle developed by the SARTI group of the 
Technical University of Catalonia (with the co-financing of 
IMEDEA-CSIC) with the objective to provide a platform 

for measuring oceanographic variables, such as temperature 
and salinity of the water column, with a high 
simultaneously spatial and temporal resolution. Figure 1 
shows the vehicle. The knowledge of the charge status of 
the batteries in an autonomous vehicle is an important 
factor to ensure security of the vehicle and mission. This 
work presents a measurement system and energy 

 

 
 

Figure  1. Autonomous Underwater Vehicle Guanay II AUV. 

ABSTRACT 
Guanay  II  is  an  autonomous  underwater  vehicle  (AUV)  designed  to  perform  measurements  in  a  water  column.  In  this  paper  the 
aspects of the vehicle’s power system are presented with particular focus on the power elements and the state of charge of the 
batteries. The system performs both measurement and monitoring tasks and also controls the state of charge (SoC) of the batteries. It 
allows simultaneous charging of all batteries from outside the vehicle and has a wireless connection/disconnection mode. Guanay II 
uses  a  NiCd  battery  and  for  this  reason  the  current  integration  as  a  SoC  methodology  has  been  selected.  Moreover,  it  has  been 
validated that it is possible to obtain instant consumption from the SoC circuit. Finally, laboratory and vehicle navigation tests have 
been performed to validate the correct operation of the systems and the reliability of the measured data. 

 



 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 36 

management for the Guanay II vehicle. Initially different 
solutions for electrically measuring the batteries charge 
state are analyzed, and the methodology of current 
integration is chosen [5] due to the nature of the batteries 
used in the Guanay II. Subsequently, the construction of a 
prototype and the experimental tests performed both in 
laboratory and field missions in order to validate the 
correct operation of the device is presented. Finally, this 
device is complemented with a design of a battery charger 
system, accessible from outside the vehicle, which allows 
simultaneous charging of all battery packs, and also a 
wireless connection-disconnection of the battery. 

2. POWER SYSTEM OF GUANAY II AUV 

The Guanay II’s power system can be divided into three 
parts: propulsion system; communication and control 
system; and battery system. Below, each of these elements 
are briefly described. 

The propulsion systems consist of a series of propellers 
for longitudinal and directional movement and a motor-
piston set to modify the buoyancy of the vehicle to 
perform dives. The principal characteristics of the main 
engine, for longitudinal movement, are: 24 V of direct 
current (dc) supply; 300W of output power; and can be 
controlled via RS232 communication. Two engines are 
located on the rear side of the vehicle to control its 
direction. The engines have 24 V of power supply, 
maximum power output of 110 W each and are controlled 
by an RS232 communication port. Finally, the piston-
engine set comprises a motor of 24 Vdc and a piston that 
can move up to 1.5 litres. This piston can either take in or 
eject seawater. With this action the buoyancy of the vehicle 
can change and therefore the dives can be controlled. These 
systems consume most of the Guanay II AUV power. 

The second part of Guanay II vehicle is the control and 
communication system. The main control system of the 
vehicle is an embedded computer located inside. This 
computer is responsible for controlling and managing the 
various elements of the vehicle (sensors, actuators, motors, 
communications, etc.) Also, by using a radio link and a 
WiFi network the vehicle can be remotely controlled from 
a base station. 

Finally, an energy storage system has been mentioned. 
This vehicle has autonomy of around 4 hours thanks to the 
nickel-cadmium (Ni-Cd) battery pack of 24 V and 21 Ah. 
This pack consists of a subset of 12 Vdc and 7 Ah batteries 
arranged in two series and three in parallel configuration 
(2s3p). With these batteries and the average consumption of 
electronic components of the vehicle, the autonomy under 
normal conditions can be established.  

Figure 2 shows the development of the vehicle in 3D 
where the three parts of the power system can be seen (1, 
Communication and control system. 2, Propulsion system. 
3, Battery system).  

Finally, in Table 1 the values of the theoretical 
consumption of various devices of the vehicle can be seen. 
These values are specified in the technical specifications of 
the devices. 

As seen in table 1, the engines consume most (90%) of 
the vehicle’s energy. The other electronic systems consume 
the remaining 10%. Given these data and the total capacity 
of the batteries, the autonomy of the vehicle can be known. 
If the engines run at full power, a maximum of less than 1.5 
h has been obtained. However, various factors have to be 
taken into account. First, the side engines correct the 
direction of the vehicle, but are never on for long time. 
With regard to the main engine, a compromise between 
speed and autonomy of the vehicle is necessary. Finally, the 
engine piston set is only activated to make the dives. In 
experimental results, it has been observed that the vehicle 
has a range of about 4 hours under normal conditions. 
3. MEASUREMENT SYSTEM FOR BATTERY STATE OF 

CHARGE 

The state of charge (SoC) is mathematically defined as in 
the following equation (1). 

nom

t

nom AhdttIAhtSoC /))(()(
0
  (1) 

Table 1.   Theoretical consumptions of the Guanay II. 

 
Maximum values

V  A  W

GPS 5  240 m  2
PC104 5  0.9  9.9

Compass 5  <20 m  0.1
Radio‐modem 12  1.5  18
Engine Driver 5  31 m  0.15
Main Thruster 24  16  300
Lateral Thruster 24  4.25  110
Piston‐Engine 24  3  50

TOTAL 25.94  490.15

 

 
Figure 2. This figure shows the development of the vehicle in 3D with the 
three parts of the power system (1, Communication and control system. 2,
Propulsion system. 3, Battery system).  



 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 37 

where I(t) is the current extracted from the battery (which 
is assumed positive while discharging the battery), and 
Ahnom is the nominal battery capacity. Equation (1) assumes 
that the current integration starts at SoC(t) = 100% at t = 
0. 

Several methods of estimating the SoC of a battery have 
been used. Some are specific to particular cell chemistries. 
This work is subject to the use of Ni-Cd batteries used in 
the Guanay II.  

3.1. Methods for SoC estimation 

For such batteries there are different methods to 
measure the charge, such as the measurement of voltage, 
impedance and current integration.  

 
a. Voltage based SoC estimation uses the voltage of 

the battery cell as the basis for calculating the 
remaining capacity [6]. Results can vary widely 
depending on discharge rate and temperature and 
compensation for these factors must be provided 
to achieve reasonable accuracy. Figure 3 shows the 
relationship between the voltage and the capacity 
at different discharge rates.  
 

b. Internal impedance measurements can also be 
used to determine the SoC. However these are not 
widely used because of difficulties in measuring the 
impedance while the cells are active as well as 
difficulties in interpreting the data and very 
complex calculations are required [7] and [8].   
 

c. Current based SoC estimation, known as 
coulomb counting [5] [11]. In coulometric 
measurements however, the amount of capacity 
taken out or put into a battery is measured in 
terms of ampere-hour or in %. The coulomb 
counting approach basically implements equation 
(1) to evaluate the SoC. It uses a more general 
definition, defined as can be seen in (2). 


t

m
nom

dttI
Ah

SoCtSoC
0

)(
1

)0()(  (2) 

where SoC(0) is the starting value of SoC and Im(t) 
is the measured current. 

Charge accumulation techniques where SoC is 
determined by monitoring battery charge and 
discharge current are impractical in the long term 
due to accumulation of errors. For this reason this 
technique makes it impractical to be used by itself. 
A monitoring technique combining the open-
circuit voltage under no-load condition, and 
coulometric measurements under constant load has 
been implemented in [13] on a microcomputer-
based circuit. On the other hand, correction 
factors are required for different discharge rates 
and ambient temperatures [12]. 

3.2. Gas Gauge IC for power‐assist applications 

Current based SoC estimation, known as coulomb 
counting [5], which is currently selected, calculates the state 
of charge by measuring the instantaneous current of the 
battery and integrating in time both in the process of 
charging and discharging. The reason for using this method 
is because it obtains a good correlation of the measurement 
data and also because it can be implemented quickly 
because of the already existing specific integrated circuit 
(IC). This allows us to rapidly develop a prototype that can 
be used to estimate the remaining charge left in the battery 
in Guanay II and to perform some field tests. In this 
implementation the bq2013 IC (a Gas Gauge IC for Power-
Assist Applications) from Texas Instruments Company, 
specifically designed for Ni-Cd batteries [9] has been used.  

Figure 4 shows a block diagram of the SoC estimator 
where the batteries, motors (load) and charger can be 
observed. The bq2013 constantly monitors the current 
flowing through the batteries and also measures the voltage 
and the internal temperature to compensate for various 
factors. Finally, the communication to the SoC estimator is 
through a serial communication, allowing the user to read 
and write some parameters of the configuration and read 
the value of the charge of the batteries with the micro-
controller. 

 
Figure  4. Block diagram of the SoC Estimator. 

 
 

Figure  3. Relationship between the voltage and the capacity at different 
discharge rate. Source: Saft batteries [10]. 



 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 38 

3.3. Prototype 

The prototype developed is shown in figure 5, where 
the communication ports with the PC-104 and LEDs for 
visual indication can be seen. This IC includes a simple 
single-pin serial data interface with command-based 
protocol (HDQ plus return). For this reason a RS-232 to 
HDQ interface has been developed to communicate with 
both gas gauge and PC-104 systems [9].  

3.4. The SoC measurement method 

As explained in section 3.1 there are some drawbacks in 
using a simple coulomb counting SoC. These drawbacks 
include the noise, temperature effects, discharge rates and 
how to estimate the initial SoC value.  The algorithm used 
should include these effects to get a reliable reading of the 
SoC. The bq2013 implements compensations to minimize 
these drawbacks. The operational overview diagram in 
figure 6 illustrates the operation algorithm of the IC. 

As can be seen in figure 6, the IC compensates charge 
current for charge rate and temperature. Discharge current 
is load compensated and allows automatically adjustment 

for self-discharge. The main counter, nominal available 
capacity (NAC), represents the available battery capacity at 
any given time. Battery charging increments the NAC 
register, while battery discharging and self-discharge 
decrease the NAC register and increment the DCR 
(discharge count register). 

The DCR and LMD (last measured discharge) registers 
are used to update and adjust the initial SoC value. 

Texas Instruments provides equation (3) to obtain the 
value of the internal register NAC (in mVh) of the bq2013 
IC, which monitors the voltage drop across a resistor 
connected in series between the battery and ground.  
 

ScaletorSenseresis

mAhacityBatteryCapmVhNAC





)(

)()(
 (3) 

where Senseresistor = 0.01 Ω and Scale = 640 (predefined). 
We can see the relation between the NAC register and the 
SoC in mAh. 

As seen in (3) the NAC value depends on the capacity of 
the battery and is determined by charging and discharging. 
Therefore, the consumption can be calculated from 
expressions (4) and (3): 
 

)(

)(
)(

ht

AhacityBatteryCap
AnConsumptio




 . (4) 

 
Finally, by correcting scale factors, we can obtain the 

instant consumption using equation (5): 
 

01.01000640

3600

)(

)(
)(








st

mVhNAC
AnConsumptio , (5) 

 
where 3600 is the time factor correction; 640 is scale factor 
determined by the IC; 1000 is the ampere scale factor 
correction; and 0.01 is the sense resistor in Ω. 

 

 
Figure  6. Scheme of charging system and battery connection. 

 
 

Figure  5 . State of charge measuring prototype. A) Top view B) Bottom view. 



 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 39 

4. CHARGING SYSTEM AND BATTERY CONNECTION 

In this section the implementation of charging system 
and battery connection are described. These two systems 
can improve the operability of the vehicle and increase 
safety and reliability. Figure 7 shows a schematic model of 
this system. 

It shows the three battery packs connected in parallel. 
The switch (SW) between batteries and the AUV 
electronics is radio-controlled and allows the user to turn 
on and off the vehicle. Finally, an external charger can be 
connected using a two pin connector to charge the 
batteries. 

4.1. Charging system 

The energy of the Guanay II comes from the 2s3p 
battery packs that can provide 24 Vdc and 21 Ah. 
However, a problem arises with this configuration when 
the batteries have to be charged. Many manufacturers do 
not recommend charging two battery packs in parallel 
because this can cause damage especially at high charge 
rates. Until now, types of chargers that can charge a single 
pack only were used, but the vehicle must be opened every 
time. In order to maximize the mission time a system was 
designed for simultaneous parallel charging of all battery 
packs through a single external connector. The location of 
this single point for charging means the it is not necessary 
to disassemble the vehicle’s mechanical and electronic 
systems and so the charging operation is faster. Figure 8 
shows the connector used for charging the batteries. This 
connector is located in one of the covers of the sealed 
cylinder. It is manufactured by Subconn Company. 
Specifically it is a circular 4-pin capable of supporting up to 
600 V and 10 A at pressures up to 1400 bars.  

After discussions with the manufacturer, it has been 
decided to use a low rate constant voltage charge applied to 
all the 2s3p batteries to prevent damage. A constant charge 
around 0.2 C is used. By keeping the charge current low 
enough so that the battery does not generate any heat, this 
method performs charging without using any control. The 
calculation formula for semi-constant-voltage charge system 
is as follows (6): 

 CH C N kV V   , (6) 

where: VCH is the output voltage of the DC power supply 
for charge; Vc is the single-cell battery voltage (1.45 V/cell: 
average battery voltage during charge at 20º C, 0.1 C); N is 
the number of cells used; (k) is the stabilizing constant and 
must be selected in accordance with the purpose of the 
device in which the battery pack is used. 

The value of the above-mentioned stabilizing constant 
(k) must be selected carefully and after discussions with the 
manufacturer, using a value of 1.25 has been decided upon. 
Using equation (3) a charging voltage of 29 V has been 
obtained. Moreover, the current has been limited to 5 A to 
prevent any overcurrent.  

Charge rate is often denoted as C or C-rate and signifies 
a charge or discharge rate equal to the capacity of a battery 
in one hour. Equation (7) shows the relation between the 
capacity of battery in Ah and the current in A. 

( ) (1/ ) ( )C apacityofBattery Ah C h C urrent A´ =  (7) 

4.2. Battery connection 

In order to have control and easy access to the battery 
connection/disconnection to electronics and propulsion of 
the vehicle, a wireless device that acts as a switch has been 
incorporated. Figure 7 shows a schematic model of this 
system. 

The user can turn off/on the switch of the vehicle using 
the remote controller. This operation enables the 
connection or disconnection of the batteries while the 
AUV is in the water, obtaining greater security in the 
vehicle. A HIR6-433 RF AM 433 MHz receiver/decoder 
from Rfsolutions has been used for this purpose. These 
types of modules provide a very low power receiver, 
combined with a flash programmable controller, supplied 
pre-programmed to operate with the Keeloq Transmitter 
encoder. The range from such a system can be up to 50 
meters Line of Sight (LOS). 

Finally, a new antenna with epoxy resin has been 
designed to allocate the HIR6-433 and provides the 
necessary protection in the water and in the depth. Besides 
hosting this module, the antenna is also used to  install a 
new WiFi communication module and GPS antenna. 

5. EXPERIMENTAL RESULTS 

Initially both systems, the connection/disconnection of 
the battery and its charging and SoC estimation have been 
tested in the laboratory, where the proper functioning of all 
the systems designed was verified. 

 

 

 
 
Figure  7. Scheme of charging system and battery connection. 

 

Figure  8. Subconn connector for charging in one of the covers of the sealed
cylinder of Guanay II AUV. 



 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 40 

 

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Figure  9. shows the two laboratory tests. In 1a charge testing of all packs of batteries in parallel can be seen. In 2b discharge testing and a comparison 
between sensed current from the multimeter and sensed current from the bq2013 can be observed.   
1.A) Block scheme of the battery charge test. Three battery packs, three digital multimeters, one voltage source and one laptop to monitor the variables. All 
of them are connected through a GPIB port. 
1.B) Shows the test bench where the battery charging has been tested. 
1.C) The current of the three packs (red, green and purple) of batteries during a low rate charging in parallel.  
2.A) Block scheme of the battery discharge test. Five resistors of 18 ohms in parallel as a load have been used. The three measurements (from the ammeter, 
from the bq2013 and theoretical) have been compared using a laptop. 
2.B) Test bench that has been used to check and adjust the SoC sensor of the battery. For this laboratory experiment a bank of five loads in parallel has been
used.  Each load of 18 ohms introduces a 433 mA of consumption current. 
2.C) Vehicle current measurement error using the SoC circuit (X‐axis is the total current of the vehicle).  
 

(1.A) (2.A) 

(1.B) (2.B) 

(2.C) (1.C) 



 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 41 

One of the most critical parts is the parallel charging of 
battery packs, in particular the individual currents of each 
pack. Laboratory tests have been conducted to validate the 
correct performance of the charging. In this test a power 
supply and three digital multimeters to monitor individual 
currents of each pack during charging has been used (see 
figure 9 point 1.A, Block scheme). Figure 9 in point 1.B 
shows the test bench where the battery charge has been 
tested. For this purpose, three ammeters and one power 
supply connected to a computer by GPIB have been used. 
This computer is responsible for controlling and saving 
instrument data. 
Figure 9 in point 1.C shows the current of the three packs 
of batteries during charging in parallel mode. In this picture 
it can be seen that after 10 hours of charge the current 
drops to 0.15 A and the battery is practically charged. Also, 
the difference of the current charge in one of the packs can 
be observed. This is one reason why the high rate current 
charge is not recommended in order to prevent damages. In 
figure 9 point 1.C the rate of current used to charge the 
batteries can also be seen. According to the equation (7) a 
maximum current rate of 0.17 C is obtained during the first 
hour of charge, from which this rate decreases to less than 
0.05 C. 

On the other hand, as seen in equation (5), the current 
consumption of the vehicle can be calculated using the SoC 

circuit. A test and a calibration have been conducted to 
validate the system, using a digital multimeter and five 18 
ohms resistors as a load (see figure 9 point 2.A, Block 
scheme). Figure 9 in point 2.B shows the test bench that has 
been used to check and adjust the SoC sensor of the 
battery. For this laboratory experiment a bank of five loads 
in parallel has been used. Each load of 18 ohms introduces 
433 mA of consumption current.  

Figure 9 point 2.C shows the vehicle’s current 
measurement error using the SoC circuit bq2013. The error 
varies according to the total current of the vehicle with less 
than ±50 mA. Therefore, using the NAC register a 
sufficiently accurate method to estimate the power 
consumption from Guanay II has been obtained. 

Afterwards, these systems have been validated in various 
vehicle navigation tests. For example, one of these tests was 
performed at the Canal Olímpic de Catalunya in 
Castelldefels (The Olympic channel located in Castelldefels) 
as shown in figure 10. Figure 11 shows different trajectories 
performed by the vehicle during the field test. 

Figure 16 shows the instantaneous battery consumption 
due to the action of the propulsion engine and two 
direction motors of the vehicle during a path on the water. 
The first three graphs show the action of propellers in % 

 
 
Figure  11. Different trajectories performed by the vehicle during the field
test. 

 
 
Figure  12.  Percentage of power to the engine requested vs. current drawn. 
(Propulsion propeller). 

 
 
Figure  10. Guanay II AUV in the field test. 

 
 
Figure  13.  Percentage of power to the engine requested vs. current drawn. 
(Direction propeller). 



 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 42 

(up to one). In blue the action of the main propeller is 
shown and in red and green the action of side propellers is 
shown. The fourth graph shows the instantaneous battery 
consumption (black line) and the mean of this (dashed line).  

One can observe the relationship between consumption 
and the action of the engines. Also, the average 
consumption from the remaining electronic elements 
(PC104, radio modem, GPS, etc.) can be seen. This value 
may be contrasted with the consumption values of table 1. 
The difference may come due to the time of use of the radio 
modem or PC104. In any case, this can be a field to 
investigate in future work. 

From the experimental results shown in figure 14, the 
relationship between the percentage of power to the engine 
requested and the current drawn has been made. Figure 13 
shows this relationship for the left direction propeller and 
figure 12 for the propulsion propeller. 

The results show that, at low power, the engine will not 
draw power and therefore will not work. This is because a 
minimum amount of power is needed to run the motors. 
For the direction propellers more than 50% of power has 
been required and for the propulsion propeller more than 
20%. However, more field test points are needed to obtain a 
more accurate relationship. 

These tests also confirmed that disconnecting the 
batteries when the vehicle is still in the water provides 
security at its landing ground. 

6. CONCLUSIONS 

A system for measurement and for energy management 
for an underwater vehicle have been designed. The system 
monitors the state of charge of the batteries and the 
instantaneous consumption of the thrusters, information 
that the control mission needs to optimize and facilitate 
navigation. A single external access connector in the vehicle 
allows all batteries to be charged and a radio frequency 
control switch is used to connect and disconnect the 
vehicle’s power supply even in water. The navigation tests 
performed confirm that the system operates correctly and 
the data measured is reliable.   

ACKNOWLEDGEMENT 

This work was supported by the Spanish Ministry of 
Economy and Competitiveness under the research project: 
“Sistemas Inalambricos para la Extension de Observatorios 
Submarinos” (CTM2010-15459). 

 REFERENCES 

[1] J. Timothy Pennington and F. P. Chavez, “Seasonal 
fluctuations of temperature, salinity, nitrate, chlorophyll 
and primary production at station h3/m1 over 1989-1996 in 
Monterey bay, California” Deep Sea Research Part II: 

 

 
 
Figure  14. Consumption of the vehicle versus power of the propellers. 



 

ACTA IMEKO | www.imeko.org  February 2015 | Volume 4 | Number 1 | 43 

Topical Studies in Oceanography, vol. 47, no.5, pp. 947-973, 
2000. 

[2] S. Gomáriz, J. González, A. Arbos, I. Masmitja, G. 
Masmitja, J. Prat. "Design and construction of the Guanay-II 
Autonomous Underwater Vehicle". Oceans 2011 
IEEE/OES. Santander, Spain. June 2011. 

[3] S. Gomáriz, J. Prat, A. Arbos, O. Pallares, and C. Viñolo, 
“Autonomous vehicle development for vertical submarine 
observation” in International Workshop on Marine 
Technology, (Vilanova i la Geltrú, Spain), november 2009. 

[4] S. Gomáriz, J. Prat, P. Gayà, and J. del Río, “Development 
of low-cost autonomous oceanographic observation vehicle”, 
in Oceans’09 MTS/IEEE, (Brement, Germany), may 2009. 

[5] F.Codecà, S. M. Savaresi, V. Manzoni. “The mix estimation 
algorithm for battery State-of-Charge estimator – Analysis of 
the sensitivity to measurement errors” in Join 48th IEEE 
Conference on Decision and Control and 28th Chinese 
Control Conference Shangahai, P.R. China, December 16-
18, 2009. 

[6] M. Gonzlaez, M.A. Perrez, J.C. Viera, C. Carballo, A. 
Garrido. “A new, reliable and easily implemented 
NiCd/NiMH battery state estimation method”. 
Instrumentation and Measurement Technology Conference, 
1999. IMTC/99. Proceedings of the 16th IEEE. Page(s): 1260 
– 1264 vol.2. 

[7] N. Kato, K. Yamamoto. “Estimation of the capacity of 
nickel-cadmium batteries by measuring impedance using 
electrolyte-deficient battery characteristics” 
Telecommunications Energy Conference, 1995. INTELEC 
’95. 10.1109/INTLEC.1995.499046 . 

[8] I. Damlund. “Analysis and interpretation of AC-
measurement on batteries used to assess state-of-health and 
capacity-condition” Telecommunications Energy 
Conference, 1995. INTELEC ’95. 
10.1109/INTLEC.1995.499055.  

[9] Texas Instruments. “HDQ Communication Basics”. 
Application Report. SLUA408A – December 2006 – Revised 
September 2008. 

[10] Saft Batteries. 
http://www.saftbatteries.com/Technologies_Nickel_NiCd_
293/Language/en-US/Default.aspx. May 2013 

[11] Y. Çadirci, Y. Özkazanç. “Microcontroller-based on-line 
state-of-charge estimator for sealed lead-acid batteries” 
Journal of Power Sources 129 (2004) 330-342 

[12] Chyuan-Yow Tseng, Chiu-Feng Lin. “Estimation of the 
state-of-charge of lead-acid batteries used in electric scooters” 
Journal of Power Sources 147 (2005) 282-287. 

[13] J.H. Aylor, A. Thieme, B.W. Johnson. “A battery state-of-
charge indicator for electric wheelchairs”. IEEE Trans. Ind. 
Electron. 39 (5) (1992) 398-409.