State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review  

作　　者：Yanshuo Liu Licheng Wang Dezhi Li Kai Wang 

机构地区：[1]School of Electrical Engineering,Weihai Innovation Research Institute,Qingdao University,Qingdao 266000,China [2]School of Information Engineering,Zhejiang University of Technology,Hangzhou 310014,China

出　　处：《Protection and Control of Modern Power Systems》2023年第3期63-79,共17页现代电力系统保护与控制（英文）

基　　金：supported by the Youth Fund of Shandong Province Natural Science Foundation(No.ZR2020QE212);Key Projects of Shandong Province Natural Science Foundation(No.ZR2020KF020);the Guangdong Provincial Key Lab of Green Chemical Product Technology(GC202111);Zhejiang Province Natural Science Foundation(No.LY22E070007);National Natural Science Foundation of China(No.52007170).

摘　　要：Lithium-ion batteries(LIBs)are crucial for the large-scale utilization of clean energy.However,because of the com-plexity and real-time nature of internal reactions,the mechanism of capacity decline in LIBs is still unclear.This has become a bottleneck restricting their promotion and application.Electrochemical impedance spectroscopy(EIS)contains rich electrochemical connotations and significant application prospects,and has attracted widespread atten-tion and research on efficient energy storage systems.Compared to traditional voltage and current data,the state-of-health(SOH)estimation model based on EIS has higher accuracy.This paper categorizes EIS measurement methods based on different principles,introduces the relationship between LIBs aging mechanism and SOH,and compares the advantages of different SOH estimation methods.After a detailed analysis of the latest technologies,a review is given.The insights of this review can deepen the understanding of the relationship between EIS and the aging effect mechanism of LIBs,and promote the development of new energy storage devices and evaluation methods.

关 键 词：Lithium-ion batteries STATE-OF-HEALTH Electrochemical impedance spectroscopy SOH estimation Battery management system 

分 类 号：TM912[电气工程—电力电子与电力传动]