锂离子电池故障诊断算法研究综述  

A review of fault diagnosis algorithms for lithium ion batteries

作　　者：张扬[1] 李晓杰[1,2] 马兹林 彭星渊 崔学良[2] ZHANG Yang;LI Xiaojie;MA Zilin;PENG Xingyuan;CUI Xueliang(School of Energy and Power Engineering,North University of China,Taiyuan 030051,China;Shanxi Key Laboratory of Advanced Manufacturing Technology,North University of China,Taiyuan 030051,China;Chongqing SGS-CEC Energy Storage Technologies Research Institute Co.,Ltd.,Chongqing 401120,China)

机构地区：[1]中北大学能源与动力工程学院,太原030051 [2]中北大学先进制造技术山西省重点实验室,太原030051 [3]重庆标能瑞源储能技术研究院有限公司,重庆401120

出　　处：《重庆理工大学学报（自然科学）》2023年第9期49-61,共13页Journal of Chongqing University of Technology：Natural Science

基　　金：山西省研究生创新项目(2021Y663);先进制造技术山西省重点实验室开放基金项目(XJZZ202108)。

摘　　要：锂离子电池在新能源汽车领域具有广阔的应用前景,其安全性是影响新能源汽车推广的重要因素,发展安全可靠的锂电池故障诊断技术已成为行业共识。故障诊断算法是锂电池故障诊断技术的基础,因此,对锂离子电池故障诊断算法的研究十分重要。对锂离子电池故障诊断算法进行了分类,综述了近年来基于知识、模型和数据驱动的故障诊断算法的研究现状,阐述了不同算法的优缺点,最后总结和展望了锂离子电池故障诊断算法。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.

关 键 词：锂离子电池 故障诊断 安全性能 模型 数据驱动 

分 类 号：TM912[电气工程—电力电子与电力传动]