基于区域直线距离的锂离子电池健康状态评估
Health status estimation of lithium-ion batteries based on regional linear distance
胡厚鹏 1刘伟 1肖艳红 1欧家祥 1王力立1
作者信息
- 1. 贵州电网有限责任公司,贵州贵阳 550002
- 折叠
摘要
在原始充电曲线中引入区域电压和区域直线距离的概念,并提出基于区域直线距离的电池SOH(健康状态)评估方法,采用实验室条件下NCA(镍钴铝)电池单体和LFP(磷酸铁锂)电池模组在1/2C倍率下的充电电压数据以及一座20 kW/100 kW·h储能电站的电池运行数据,来建立基于区域直线距离的电池SOH评估模型,对比了基于区域直线距离LAB的方法和IC(增量容量)峰高法,并考察了不同采样频率和区域电压下LAB-SOH模型的效果.结果表明:SOH与LAB呈线性正相关,线性拟合优度可达到0.96以上,LAB-SOH模型的SOH评估准确性均优于IC峰高法.区域直线距离作为健康因子提高了低采样频率下电池SOH评估的准确性,这为工程上储能电池的SOH在线评估提供了可能性.
Abstract
The concepts of regional voltage and regional linear distance in the original charging curve were introduced and a battery S0H(state of health)estimation method based on regional linear distance was proposed.The battery SOH estimation models based on regional linear distance were established by using the charging voltage data of laboratory NCA(nickel-cobalt-aluminum)battery cell and LFP(lithium iron phosphate)battery module at l/2C-rate and the battery operation data of a 20 kW/100 kW·h energy storage power station.The method based on regional linear distance LAB and the IC(incremental capacity)peak height method was compared,the results of LAB-SOH models under different sampling frequencies and regional voltages were also discussed.The results show that SOH and LAB have a linear positive correlation,and the linear goodness of fit can reach more than 0.96.The accuracy of SOH evaluation of LAB-SOH models is better than that of IC peak height method.Regional linear distance as a health factor improves the accuracy of battery S0H evaluation at low sampling frequency,which provides the possibility for online evaluation of battery SOH in engineering.
关键词
镍钴铝电池单体/磷酸铁锂离子电池模组/储能电站/区域直线距离/采样频率/SOH评估Key words
nickel-cobalt-aluminum battery cell/lithium iron phosphate battery module/energy storage power station/regional linear distance/sampling frequency/SOH evaluation引用本文复制引用
基金项目
贵州省科技支撑计划(黔科合支撑[2022]一般015)
南方电网创新项目(GZKJXM20220036)
出版年
2024
国家科技期刊平台
NSTL
万方数据