Modelling and Simulation of a 12-Cell Battery Power System with Fault Control for Underwater Robot

Zuchang Gao; Junbo Jia; Jinlong Xie; Wei Da Toh; Pengfeng Lin; Hang Lyu; Deddy Julyanto; Cheng Siong Chin; Wai Lok Woo

doi:10.1109/ICCIS.2015.7274584

Modelling and Simulation of a 12-Cell Battery Power System with Fault Control for Underwater Robot

Zuchang Gao, Junbo Jia, Jinlong Xie, Wei Da Toh, Pengfeng Lin, Hang Lyu, Deddy Julyanto, Cheng Siong Chin, Wai Lok Woo

Computer and Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Safety is the most important aspect in all design of a battery system. In order to improve the safety of a lithium-ion battery, the power system must be able to detect, isolate and control the fault in the battery. However, it is important to simulate the state of charge (SOC), state of health (SOH) and active cell balancing before designing a fault tolerant control for the battery power system. In this paper, a complete 12-cell 50Ah battery power system using MATLABTM/SimulinkTM was performed. A simple fault control algorithm to shut down the entire battery system automatically in the event of a failure was simulated successfully.

Original language	English
Title of host publication	2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
Publisher	IEEE
ISBN (Electronic)	978-1-4673-7338-8
ISBN (Print)	978-1-4673-7337-1
DOIs	https://doi.org/10.1109/ICCIS.2015.7274584
Publication status	Published - 24 Sept 2015

Keywords

Lithium-ion battery power system
state of charge
state of health
active cell balancing
fault control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICCIS.2015.7274584

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Gao, Z., Jia, J., Xie, J., Da Toh, W., Lin, P., Lyu, H., Julyanto, D., Chin, C. S., & Woo, W. L. (2015). Modelling and Simulation of a 12-Cell Battery Power System with Fault Control for Underwater Robot. In 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) IEEE. https://doi.org/10.1109/ICCIS.2015.7274584

@inproceedings{bc014cdf38134697ade91ad4affaf000,

title = "Modelling and Simulation of a 12-Cell Battery Power System with Fault Control for Underwater Robot",

abstract = "Safety is the most important aspect in all design of a battery system. In order to improve the safety of a lithium-ion battery, the power system must be able to detect, isolate and control the fault in the battery. However, it is important to simulate the state of charge (SOC), state of health (SOH) and active cell balancing before designing a fault tolerant control for the battery power system. In this paper, a complete 12-cell 50Ah battery power system using MATLABTM/SimulinkTM was performed. A simple fault control algorithm to shut down the entire battery system automatically in the event of a failure was simulated successfully.",

keywords = "Lithium-ion battery power system, state of charge, state of health, active cell balancing, fault control",

author = "Zuchang Gao and Junbo Jia and Jinlong Xie and {Da Toh}, Wei and Pengfeng Lin and Hang Lyu and Deddy Julyanto and Chin, {Cheng Siong} and Woo, {Wai Lok}",

year = "2015",

month = sep,

day = "24",

doi = "10.1109/ICCIS.2015.7274584",

language = "English",

isbn = "978-1-4673-7337-1",

booktitle = "2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)",

publisher = "IEEE",

address = "United States",

}

Gao, Z, Jia, J, Xie, J, Da Toh, W, Lin, P, Lyu, H, Julyanto, D, Chin, CS & Woo, WL 2015, Modelling and Simulation of a 12-Cell Battery Power System with Fault Control for Underwater Robot. in 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE. https://doi.org/10.1109/ICCIS.2015.7274584

Modelling and Simulation of a 12-Cell Battery Power System with Fault Control for Underwater Robot. / Gao, Zuchang; Jia, Junbo; Xie, Jinlong et al.
2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE, 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modelling and Simulation of a 12-Cell Battery Power System with Fault Control for Underwater Robot

AU - Gao, Zuchang

AU - Jia, Junbo

AU - Xie, Jinlong

AU - Da Toh, Wei

AU - Lin, Pengfeng

AU - Lyu, Hang

AU - Julyanto, Deddy

AU - Chin, Cheng Siong

AU - Woo, Wai Lok

PY - 2015/9/24

Y1 - 2015/9/24

N2 - Safety is the most important aspect in all design of a battery system. In order to improve the safety of a lithium-ion battery, the power system must be able to detect, isolate and control the fault in the battery. However, it is important to simulate the state of charge (SOC), state of health (SOH) and active cell balancing before designing a fault tolerant control for the battery power system. In this paper, a complete 12-cell 50Ah battery power system using MATLABTM/SimulinkTM was performed. A simple fault control algorithm to shut down the entire battery system automatically in the event of a failure was simulated successfully.

AB - Safety is the most important aspect in all design of a battery system. In order to improve the safety of a lithium-ion battery, the power system must be able to detect, isolate and control the fault in the battery. However, it is important to simulate the state of charge (SOC), state of health (SOH) and active cell balancing before designing a fault tolerant control for the battery power system. In this paper, a complete 12-cell 50Ah battery power system using MATLABTM/SimulinkTM was performed. A simple fault control algorithm to shut down the entire battery system automatically in the event of a failure was simulated successfully.

KW - Lithium-ion battery power system

KW - state of charge

KW - state of health

KW - active cell balancing

KW - fault control

U2 - 10.1109/ICCIS.2015.7274584

DO - 10.1109/ICCIS.2015.7274584

M3 - Conference contribution

SN - 978-1-4673-7337-1

BT - 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)

PB - IEEE

ER -

Modelling and Simulation of a 12-Cell Battery Power System with Fault Control for Underwater Robot

Abstract

Keywords

UN SDGs

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