基于云端数据充电初期片段的电池极化参数辨识  

Identification of battery polarization parameters based on initial charging segment of cloud data

作　　者：王丽梅[1] 崔艳伟 孙景景 赵秀亮 刘良[1] 盘朝奉[1] WANG Limei;CUI Yanwei;SUN Jingjing;ZHAO Xiuliang;LIU Liang;PAN Chaofeng(Automotive Engineering Research Institute,Jiangsu University,Zhenjiang 212013,China;School of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang 212013,China)

机构地区：[1]江苏大学汽车工程研究院,镇江212013 [2]江苏大学汽车与交通工程学院,镇江212013

出　　处：《汽车安全与节能学报》2025年第2期294-302,共9页Journal of Automotive Safety and Energy

基　　金：国家自然科学基金项目(52477214,52072155);智能绿色车辆与交通全国重点实验室开放基金课题(KFY2401)。

摘　　要：为了提高电池极化参数在线辨识的精度及速度,提出了一种基于云端数据的基准极化参数辨识方法。通过开展电池充放脉冲实验,研究电池极化参数特性;基于云端数据充电初期片段,采用类比混合脉冲功率性能(HPPC)方法,获取充电极化参数;以充电极化参数为约束,利用变遗忘因子递推最小二乘法(VFFRLS),计算了放电极化参数。结果表明:本文方法的电池时间常数范围为34~53 s,在云端相应小电流倍率下极化参数不随倍率变化;充电极化内阻和极化电容的计算结果与实验结果吻合;添加约束后的在线辨识方法的收敛速度,与未添加约束相比,最少提高了6%。A benchmark polarization parameter identification method was proposed based on cloud data to enhance the accuracy and the speed of online identification of battery polarization parameters.The characteristics of battery polarization parameters were investigated by conducting charge-discharge pulse experiments.A method analogous was employed by utilizing the initial charging segment from cloud data through the Hybrid Pulse Power Characterization(HPPC)tests to obtain the charging polarization parameters.The Variable Forgetting Factor Recursive Least Squares(VFFRLS)algorithm was applied with the identified charging polarization parameters as constraints to compute the discharging polarization parameters.The results indicated that this method yielded battery time constants ranging from 34~53 s,and the polarization parameters remained invariant with respect to the current rate under corresponding low current rates in the cloud environment.The calculated charging polarization resistance and polarization capacitance aligned well with laboratory results.The convergence speed of the proposed constrained online identification method was improved by at least 6%compared with the unconstrained identification method.

关 键 词：电池充电放电 极化参数 云端数据 离线辨识 类比混合脉冲功率性能(HPPC)法 变遗忘因子递推最小二乘法(VFFRLS) 

分 类 号：TM912[电气工程—电力电子与电力传动]