Establishment of an Online Design for Failure Diagnosis through Simulation of the Equivalent Model of LiMn2O4 Battery

DOI

10.2991/ecae-17.2018.24How to use a DOI?

Keywords

battery management system; failure diagnosis; state of charge; equivalent circuit model

Abstract

In electric vehicles (EVs), the lithium-ion battery is used as the main energy storage because of its large capacity and high power density. The traditional battery management system (BMS) simply measures battery voltage and current. Most battery damage is caused by failure of the battery's sensor or actuator error detection, which can affect driving safety. Therefore, the system requires accurate failure diagnosis on the battery is significant. An equivalent circuit model should be established precisely to monitor battery charge, open circuit voltage and to diagnose the possible faults at the same time. In this study, equivalent circuit models of LiMn2ªO4 batteries were implemented in the MATLAB Simulink model to determine the limit of voltage and current as well as the method of failure diagnosis. Simulation results indicate the accurate failure diagnosis of the model.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenbing Yin
AU  - Xihao Tang
AU  - Xiao Ma
AU  - Danfeng Qiu
AU  - Gang Bu
AU  - Yongjun Xia
AU  - Bin Zhao
AU  - Zixia Lin
AU  - Yi Shi
PY  - 2017/12
DA  - 2017/12
TI  - Establishment of an Online Design for Failure Diagnosis through Simulation of the Equivalent Model of LiMn2O4 Battery
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 108
EP  - 113
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.24
DO  - 10.2991/ecae-17.2018.24
ID  - Yin2017/12
ER  -