电工技术学报  2022, Vol. 37 Issue (16): 4029-4037    DOI: 10.19595/j.cnki.1000-6753.tces.210384
电工理论 |
RLS锂电池全工况自适应等效电路模型
郭向伟, 邢程, 司阳, 朱军, 谢东垒
河南理工大学电气工程与自动化学院 焦作 454000
RLS Adaptive Equivalent Circuit Model of Lithium Battery under Full Working Condition
Guo Xiangwei, Xing Cheng, Si Yang, Zhu Jun, Xie Donglei
School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 China
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摘要 递推最小二乘法(RLS)应用于锂电池这种多时间尺度系统时,会出现模型参数辨识精度低、工况适应性差等问题。为此,以双极化(DP)等效电路模型为研究对象,首先,根据模型参数不同的时变特性,通过分离欧姆电阻的辨识过程,使得RLS需要辨识的参数减少,并降低待辨识参数的相互影响,提高RLS辨识的精度及降低运算量;其次,根据模型参数在线辨识对恒流工况辨识精度低,而离线辨识对恒流工况辨识精度高的特点,提出全工况自适应输出等效电路模型,进一步提高模型精度。基于实际工况的仿真实验表明,全工况自适应等效电路模型相比欧姆电阻已知的R-DP在线模型及DP离线模型具有更高的精度,能够在模型精度和运行速度之间取得更好的平衡。
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郭向伟
邢程
司阳
朱军
谢东垒
关键词 锂电池电池模型参数辨识最小二乘法模型精度全工况    
Abstract:When the recursive least square (RLS) method is applied to the multi-time scale system of lithium battery, problems such as low accuracy of model parameter identification and poor adaptability of working conditions will occur. For this reason, the dual polarization (DP) model is taken as the research object. Firstly, according to the different time-varying characteristics of the model parameters, the identification process of ohmic resistance is separated to reduce the number of parameters to be identified by RLS, and the mutual influence of the parameters is reduced, which improves the accuracy of RLS identification and reduces the amount of calculation. Secondly, considering the low accuracy of the model parameter online identification and the high accuracy of offline identification for constant current condition, an adaptive output equivalent circuit model for the full working condition is proposed to further improve the accuracy of the model. Simulations based on the actual operating conditions show that, the full-condition adaptive equivalent circuit model has higher accuracy than the R-DP online model with known ohmic resistance and the DP offline model, the better balance is achieved between model accuracy and running speed.
Key wordsLithium battery    battery model    parameters identification    least square method    model accuracy    full working condition   
收稿日期: 2021-03-22     
PACS: TM912.8  
基金资助:国家自然科学基金项目(61703145)、河南省科技攻关项目(202102210093)和河南省高校基本科研业务费专项资金青年探索项目(NSFRF210332)资助
通讯作者: 郭向伟,男,1987年生,博士,副教授,研究方向为电力电子及其在电池管理系统中的应用。E-mail: gxw@hpu.edu.cn   
作者简介: 邢程,男,1997年生,硕士研究生,研究方向为电池管理系统。E-mail: xingcheng20210130@.126.com
引用本文:   
郭向伟, 邢程, 司阳, 朱军, 谢东垒. RLS锂电池全工况自适应等效电路模型[J]. 电工技术学报, 2022, 37(16): 4029-4037. Guo Xiangwei, Xing Cheng, Si Yang, Zhu Jun, Xie Donglei. RLS Adaptive Equivalent Circuit Model of Lithium Battery under Full Working Condition. Transactions of China Electrotechnical Society, 2022, 37(16): 4029-4037.
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