电气传动2025，Vol.55Issue(3)：72-80,9.DOI:10.19457/j.1001-2095.dqcd25516
基于两阶段充电数据融合的储能系统锂离子电池SOH估计方法
State of Health Estimation Method for Lithium-ion Batteries in Energy Storage Systems Based on Two-stage Charging Data
摘要
Abstract
Accurately estimating the state of health(SOH)of lithium-ion batteries is crucial for optimizing energy storage systems'operation,management,and maintenance.Existing methods that extract health features from single-stage charging data fail to exploit battery aging information fully,leading to a suboptimal estimation accuracy.In addressing this issue,a SOH estimation method for energy storage systems based on the fusion of two-stage charging data for lithium-ion batteries was proposed.Combining health features from both constant voltage charging and relaxation stages,the proposed method effectively mines aging information embedded in two-stage charging data,thereby improving SOH estimation accuracy.Additionally,the introduced health feature combination does not require the use of constant current charging stage data,making it less affected by the uncertainty of charging start points and more adaptable to practical energy storage conditions.Experimental results demonstrate that the proposed health feature combination significantly outperforms single-stage feature combinations,with an average absolute error of 0.66%,mean squared error of 0.85%,and an average coefficient of determination of 0.97.关键词
锂离子电池/健康状态估计/两阶段特征融合Key words
lithium-ion batteries/state of health(SOH)estimation/two-stage features fusion分类
动力与电气工程引用本文复制引用
范元亮,朱俊伟,吴涵,韩晓岚,黄兴华,陈金玉..基于两阶段充电数据融合的储能系统锂离子电池SOH估计方法[J].电气传动,2025,55(3):72-80,9.基金项目
国网福建省电力有限公司科技项目(52130422002F) （52130422002F）
