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Advanced Fault Diagnosis for Lithium-Ion Battery Systems

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posted on 03.02.2020 by Xiaosong Hu, Kai Zhang, Kailong Liu, Xianke Lin, Satadru Dey, Simona Onori
Lithium-ion batteries have become the mainstream energy storage solution for many applications, such as electric vehicles and smart grids. However, various faults in a lithium-ion battery system (LIBS) can potentially cause performance degradation and severe safety issues. Developing advanced fault diagnosis technologies is becoming increasingly critical for the safe operation of LIBS. This paper provides a comprehensive review of fault mechanisms, fault features, and fault diagnosis of various faults in LIBS, including internal battery faults, sensor faults, and actuator faults. Future trends in the development of fault diagnosis technologies for a safer battery system are presented and discussed.

Funding

This work was in part supported by National Natural Science Foundation of China (Grant No. 51875054 and No. U1864212) and Chongqing Natural Science Foundation for Distinguished Young Scholars (Grant No. cstc2019jcyjjq0010), Chongqing Science and Technology Bureau, China.

History

Email Address of Submitting Author

xiaosonghu@ieee.org

Submitting Author's Institution

Chongqing University

Submitting Author's Country

China

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