Journal of Chongqing University of Technology(Natural Science) ›› 2023, Vol. 37 ›› Issue (9): 49-61.

• “Research on State Estimation and Prediction Technology of Advanced Power Battery”Special Column • Previous Articles     Next Articles

A review of fault diagnosis algorithms for lithium ion batteries

  

  • Online:2023-10-17 Published:2023-10-17

Abstract: Lithium-ion battery has a broad application prospect in the field of new energy vehicles, safety is an important factor affecting the promotion of new energy vehicles. The development of safe and reliable lithium-ion battery fault diagnosis technology has become a consensus in the industry. Fault diagnosis algorithm is the basis of lithium-ion battery fault diagnosis technology, so it is very important to study the lithium-ion battery fault diagnosis algorithm. This paper firstly classified the fault diagnosis algorithms of lithium ion battery, summarized the research status of the fault diagnosis algorithms based on knowledge, model and data driven in recent years, then the advantages and disadvantages of different algorithms are expounded, finally summarized and prospected the fault diagnosis algorithms of lithium ion battery, aiming to provide the direction for the future scholars

CLC Number: 

  • TM912