Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures

Xiaosong Hu(University of Michigan), Kai Zhang(Chongqing University), Kailong Liu(Chongqing University), Xianke Lin(University of Warwick), Satadru Dey(Ontario Tech University), Simona Onori(University of Colorado Denver)
IEEE Industrial Electronics Magazine
September 1, 2020
Cited by 545

Abstract

Lithium (Li)-ion batteries have become the mainstream energy storage solution for many applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li-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 article provides a comprehensive review of the mechanisms, features, and diagnosis of various faults in LIBSs, 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.


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