摘要
针对现阶段检测退役动力电池健康状态存在的耗时长、精度低和能耗大等问题,提出了一种基于电化学阻抗谱(EIS)的电池荷电状态(SOC)和健康状态(SOH)的快速预测方法。通过对退役磷酸铁锂动力电池在不同SOH、不同SOC和不同温度下的EIS测试和分析,建立了EIS等效电路模型。然后,利用常相位元件参数与退役动力电池SOC和SOH之间的关系,建立数学模型,实现对退役动力电池SOC和SOH的快速估计。验证实验表明,利用这种方法,可以大大减少测试时间至20min以内、节约能源以及实现对未知荷电状态和健康状态的电池的快速估计,预测误差在4%以内。
Aiming at the problems of time-consuming,low accuracy and high energy consumption existing in the detection of the state of health(SOH)of the decommissioned power battery at current stage,this paper proposes a method to quickly predict the state of charge(SOC)and SOH based on electrochemical impedance spectroscopy(EIS).Through testing and analyzing the EIS of decommissioned lithium iron phosphate power batteries in different SOH at different SOC and different temperatures,an EIS equivalent circuit model is constructed.Then,the relationship between the constant phase component parameters and the SOC and SOH of the decommissioned power battery is used to establish a mathematical model to realize the rapid estimation of the SOC and SOH of the decommissioned power battery.Verification experiments show that using this method can greatly reduce to less than 20 min,save energy source and achieve rapid estimation of the battery with unknown SOC and SOH,and the prediction error is within 4%.
作者
骆凡
黄海宏
王海欣
Luo Fan;Huang Haihong;Wang Haixin(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2021年第9期172-180,共9页
Chinese Journal of Scientific Instrument
基金
安徽省科技重大专项(18030901064)资助。
关键词
退役动力电池
电化学阻抗谱
等效电路模型
电池荷电状态
健康状态
快速预测
decommissioned power battery
electrochemical impedance spectroscopy
equivalent circuit model
state of charge
state of health
rapid prediction
