锂离子动力电池寿命预测的研究进展  

Research progress of life prediction of lithium-ion power battery

作　　者：刘嘉 晏裕康 雷治国[1] LIU Jia;YAN Yukang;LEI Zhiguo(School of Mechanical and Electrical Engineering,Fujian Agriculture and Forestry University,Fuzhou Fujian 350108,China)

机构地区：[1]福建农林大学机电工程学院,福建福州350108

出　　处：《电源技术》2022年第2期127-129,共3页Chinese Journal of Power Sources

基　　金：福建省自然基金项目(2019J01405);福建农林大学科技创新专项基金项目(CXZX2018031)。

摘　　要：近些年来,锂离子电池作为一种新型能源,其寿命研究成为了各个领域关注的重点问题。对锂离子电池寿命的影响因素、电池健康状态(SOH)估计进行了研究,总结了国内外近几年来电池寿命预测的方法,并对其中基于性能的研究方法(粒子滤波算法、基于粒子滤波算法的改进算法和多种模型相结合的融合算法等)进行了分析和比较,以此为基础,找出了电池寿命预测方法存在的问题并提出了改进措施,为未来研究提供参考。In recent years,the life research of lithium-ion as a new type of energy source has become a key issue in various fields.The influencing factors of lithium-ion battery life and battery health status SOH estimation were studied.The prediction methods of battery life at home and abroad in recent years were summarized,and the performance-based research methods(such as particle filter algorithm,improved algorithm based on particle filter algorithm and fusion algorithm combining multiple models)were analyzed and compared.Based on this,some problems and improvement measures were proposed for the prediction method of battery life,providing reference for future research.

关 键 词：锂离子电池 电池健康状态 SOH估计 寿命预测 

分 类 号：TM912.9[电气工程—电力电子与电力传动]