基于脉冲电压频域特征和内阻的退役电池快速初步分选策略  

Fast preliminary sorting strategy for retired batteries based on pulse voltage frequency domain features and internal resistance

作　　者：汪宇航 黄海宏[1] 王海欣[1] Wang Yuhang;Huang Haihong;Wang Haixin(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China)

机构地区：[1]合肥工业大学电气与自动化工程学院,合肥230009

出　　处：《仪器仪表学报》2024年第3期214-226,共13页Chinese Journal of Scientific Instrument

基　　金：安徽省科技重大专项(18030901064)资助。

摘　　要：随着新能源产业的发展,越来越多的退役电池如何处理成为了一个急需解决的问题。磷酸铁锂电池由于高能量密度及安全性的优点被广泛应用于汽车及储能场合,是现有退役电池中的主流之一。退役磷酸铁锂电池的二次利用场景是根据电池的健康状态、内阻等状态进行评估的,但是这个过程耗费大量的时间。本文提出利用脉冲过程电压的频域特征作为估计健康状态的健康特征,然后利用随机森林回归算法实现了健康状态的快速估计,这极大的缩短了退役磷酸铁锂电池分选的时间。在此基础上,本文提出利用基于高斯分布的异常参数识别方法评估异常内阻退役磷酸铁锂电池。通过实验验证,选取的15节磷酸铁锂电池中健康状态估计的最大误差为6%,且能够有效的筛除内阻与SOH不匹配的退役磷酸铁锂电池。With the development of the new energy industry,how to deal with more and more retired batteries has become an urgent problem.Lithium iron phosphate batteries are widely used in automotive and energy storage scenarios due to the advantages of high energy density and safety.It is one of the mainstreams of existing retired batteries.The secondary utilization scenario of retired LiFePO 4 batteries is evaluated based on the health status of the battery,internal resistance,and other states.But,this process consumes a lot of time.In this article,we propose to use the frequency domain characteristics of the voltage during the pulse process as the health features for estimating the health state.Then,the random forest regression algorithm is used to achieve a fast estimation of the health state,which greatly shortens the time for the sorting of decommissioned batteries.On this basis,this article proposes the use of an abnormal parameter identification method based on Gaussian distribution to evaluate the abnormal internal resistance of retired lithium iron phosphate batteries.Through experimental evaluation,the maximum error of health state estimation in the selected 15 LiFePO 4 batteries is 6%,and the proposed method can effectively screen out the retired LiFePO 4 batteries whose internal resistance does not match with SOH.

关 键 词：退役电池 健康状态 快速分选 脉冲电压 

分 类 号：TH89[机械工程—仪器科学与技术] TM93[机械工程—精密仪器及机械]