Establishment of an Online Design for Failure Diagnosis through Simulation of the Equivalent Model of LiMn2O4 Battery
- https://doi.org/10.2991/ecae-17.2018.24How to use a DOI?
- battery management system; failure diagnosis; state of charge; equivalent circuit model
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/ecae-17.2018.24 ID - Yin2017/12 ER -