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

期刊

IEEE INDUSTRIAL ELECTRONICS MAGAZINE
卷 14, 期 3, 页码 65-91

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MIE.2020.2964814

关键词

Circuit faults; Feature extraction; Fault diagnosis; Lithium-ion batteries; Temperature measurement; Actuators

资金

  1. National Natural Science Foundation of China [51875054, U1864212]
  2. Chongqing Natural Science Foundation for Distinguished Young Scholars [CSTC2019J-CYJJQ0010]
  3. Chongqing Science and Technology Bureau, China

向作者/读者索取更多资源

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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