广东电力2025，Vol.38Issue(1)：1-8,8.DOI:10.3969/j.issn.1007-290X.2025.01.001
基于最大洛伦兹半径的锂离子电池模组健康状态评估
State of Health Estimation of Lithium-ion Battery Module Based on the Maximum Lorenz Radius
摘要
Abstract
State of health(SOH)assessment is one of the key technologies for battery systems,and its accuracy is related to whether the battery system can operate safely.A novel fast SOH evaluation method for lithium-ion battery modules is proposed based on Lorenz plot(LP).The maximum Lorenz radius(MLR)of different cell voltages within a module at a certain state of charge(SOC)range is extracted as the health factor for the module's SOH.The research results show that the MLR value of the module gradually increases in the low SOC range of the discharge curves as the battery module ages.When the MLR values at 20%～30%SOC interval are extracted as health factors,the MLR-SOH relational expressions present a linear negative correlation with a goodness of fit of over 0.99.After the MLR value of the module was calculated using discharge voltage data at 1/3 C and 1 C rates,the goodness of fit of the MLR-SOH relational expressions was greater than 0.97 in the 10%～20%,20%～30%,30%～40%SOC range.When the MLR values of the module are calculated using voltage data from any SOC interval starting from 10%during discharge,the goodness of fit of the MLR-SOH relational expressions based on the discharge voltage data is above 0.97,indicating that the MLR-based battery module SOH evaluation method has strong robustness in the selection of magnification and SOC window.This will provide ample options for the practical application of this method.关键词
磷酸铁锂/电池模组/洛伦兹图/健康状态Key words
lithium iron phosphate/battery module/Lorenz plot/state of health分类
动力与电气工程引用本文复制引用
刘伟,胡厚鹏,肖艳红..基于最大洛伦兹半径的锂离子电池模组健康状态评估[J].广东电力,2025,38(1):1-8,8.基金项目
贵州省科技支撑计划项目(黔科合支撑[2022]一般015) （黔科合支撑[2022]一般015）
中国南方电网有限责任公司创新项目(GZKJXM20220036) （GZKJXM20220036）
