高电压技术2024，Vol.50Issue(3)：1182-1195,14.DOI:10.13336/j.1003-6520.hve.20221843
锂离子电池健康状态估计及寿命预测研究进展综述
Review on Health State Estimation and Life Prediction of Lithium-ion Batteries
摘要
Abstract
With the increasing application of the Lithium-ion batteries(LIBs),the accurate estimation of state-of-health(SOH)and real-time prediction of the remaining life of an LIB are of great significance to the safe operation of the LIB system and the reduction of the maintenance cost.The complex physical and chemical reactions inside the LIB and the outside complex operating conditions make it a challenge to achieve accurate SOH estimation and life prediction.Conse-quently,we reviewed the research status of methods for the LIB SOH estimation and the remaining useful life(RUL)prediction in recent years.We analyzed the advantages and disadvantages of the LIB SOH estimation methods and suita-ble conditions based on the physical/mathematical model,the data driven,the fusion of model and data driven,and the fusion of multiple data driven methods.We analyzed and compared the LIB life prediction methods of three different da-ta-driven types.Moerover,we pointed out the existing problems of the LIB SOH estimation and the life prediction,and put forward prospects in the future research directions.The conclusions can improve the theoretical system of the LIB SOH estimation and life prediction algorithm and have important significance for the practical application technology.关键词
锂离子电池/状态估计/寿命预测/电化学模型/数据驱动技术Key words
lithium-ion battery/state estimation/life prediction/electrochemical model/data driven technology引用本文复制引用
熊庆,邸振国,汲胜昌..锂离子电池健康状态估计及寿命预测研究进展综述[J].高电压技术,2024,50(3):1182-1195,14.基金项目
国家自然科学基金(52007149) （52007149）
电工材料电气绝缘全国重点实验室资助(EIPE22123) （EIPE22123）
碑林区科技计划(GX2226). Project supported by National Natural Science Foundation of China(52007149),State Key Laboratory of Electrical Insulation and Power Equipment(EIPE22123),Science and Technology Project of Beilin District(GX2226). （GX2226）
