Review on degradation mechanism and health state estimation methods of lithium-ion batteries

作     者：Yongtao Liu Chuanpan Liu Yongjie Liu Feiran Sun Jie Qiao Ting Xu 

作者机构：School of AutomobileChang'an UniversityXi'an 710064China College of Transportation EngineeringChang'an UniversityXian 710064China 

出 版 物：《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报（英文版）)

年 卷 期：2023年第10卷第4期

页      面：578-610页

核心收录：

学科分类：08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：supported by the National Key Research and Development Program of China(Grant No.2021YFE0192900) the Humanities and Social Sciences Youth Fund of Ministry of Education(18YJCZH110) the Natural Science Foundation of Shaanxi Province(Grant No.2023-JC-QN-0664) the Third Batch of Youth Joint Scientific Research Team Construction Project of Zhejiang Institute of Communications(2022QNLH05) the Fundamental Research Funds for the Central Universities(Grant Nos.300102222113,00102223204) 

主　　题：Lithium-ion battery Stateof health Estimation Degradation Knowledge graph 

摘      要：State of health(SOH)estimation is important for a lithium-ion battery(LIB)health state management system,and accurate estimation of SOH is influenced by the degree of degradation of the ***,considering the complex electrochemical reactions within Li electrons and the influence of many external factors on internal reactions,it is difficult to accurately estimate the SOH based on the surface state characteristics of the battery(including current,voltage,and temperature).Thus,in this study,the knowledge graph method is employed to analyze keyword co-occurrences and citations in the literature on LIB degradation and SOH estimation to determine research *** on the research trends,findings regarding the internal and external degradation mechanisms and influencing factors of(LIBs)are reorganized,and chemical and physical degradation processes,including solid electrolyte interface(SEI)layer formation,fracture,Li plating,and dendrite formation,are systematically introduced based on the modeling *** interrelationships between these degradation factors and their effects on capacity and power decay as well as their correlation with SOH estimation are ***,a comparative analysis of existing SOH estimation methods is presented,and the applicable scenarios and technical problems of each method are *** key issues such as model simplification,estimation methods based on random data,and second-life SOH are also analyzed and *** results show that the estimation results of methods mixing multiple models tend to be more ***,the development trend of SOH estimation methods under complex degradation conditions and usage scenarios is analytically discussed.