电工技术学报  2018, Vol. 33 Issue (1): 9-16    DOI: 10.19595/j.cnki.1000-6753.tces.161004
电力电子 |
磷酸铁锂电池梯次利用健康特征参数提取方法
李晓宇, 徐佳宁, 胡泽徽, 宋凯, 朱春波
哈尔滨工业大学电气工程及自动化学院 哈尔滨 150001
The Health Parameter Estimation Method for LiFePO4 Battery Echelon Use
Li Xiaoyu, Xu Jianing, Hu Zehui, Song Kai, Zhu Chunbo
School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China
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摘要 动力电池梯次利用技术是电动汽车发展后时代的关键技术。以磷酸铁锂动力电池为研究对象,首先以伪二维电化学反应机理模型为基础,仿真分析不同充放电倍率和工况实验环境下电池端电压过电势组分情况,得出在低倍率恒流充放电以及脉冲工况放电过程中,电池的过电势均值近似恒定。以此现象为基础,设计了电池健康状态特性参数提取方法。首先,基于非线性最小二乘法实现了低倍率恒电流充放电的电池容量相关参数的提取;然后,将该方法与已有的电池开路电压、阻抗参数提取方法结合,实现了在低平均倍率、脉冲工况下的电池容量特征和内阻特征参数的提取;最后,通过实验验证了该方法的有效性。该方法可为磷酸铁锂电池的健康评价、梯次利用再分类与再成组提供依据。
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李晓宇
徐佳宁
胡泽徽
宋凯
朱春波
关键词 磷酸铁锂电池电化学模型端电压成分分析非线性最小二乘法    
Abstract:The echelon use of aged batteries is one of the key issues after the development of electric vehicles, In this paper, LiFePO4 secondary battery is regard as the research object, based on the pseudo-two-dimensional electrochemical reaction mechanism model, the battery terminal voltage is simulated and analyzed under different charge-discharge rate and working conditions, it can be concluded that the over-potential of battery terminal voltage is approximate constant under the low constant current or pulse current working condition. Based on this phenomenon, the method for the battery health status characteristic parameters extraction is designed. Firstly, the battery capacity parameters are estimated based on the nonlinear least squares method under the low rate constant charge-discharge current. Then, combined with battery open circuit voltage and internal impedance estimation method, the extraction of battery impedance characteristic and capacity characteristics parameters under pulse conditions are realized. Finally, the method is verified by the experiments, this article can provide a basis method for LiFePO4 battery health state evaluation, re-classification, and re-use.
Key wordsLiFePO4 battery    electrochemical battery model    terminal voltage analysis    nonlinear least squares method   
收稿日期: 2016-07-06      出版日期: 2018-01-16
PACS: TM912  
基金资助:国家电网公司科技项目资助([2013]384)
作者简介: 李晓宇 男,1988年生,博士研究生,研究方向为储能系统综合测试与管理技术、电池梯级利用技术。E-mail:xiaoyu070220202@126.com;朱春波 男,1964年生,教授,博士生导师,研究方向为储能系统综合测试与管理技术、电池梯级利用技术、无线电能传输技术。E-mail: zhuchunbo@hit.edu.cn(通信作者)
引用本文:   
李晓宇, 徐佳宁, 胡泽徽, 宋凯, 朱春波. 磷酸铁锂电池梯次利用健康特征参数提取方法[J]. 电工技术学报, 2018, 33(1): 9-16. Li Xiaoyu, Xu Jianing, Hu Zehui, Song Kai, Zhu Chunbo. The Health Parameter Estimation Method for LiFePO4 Battery Echelon Use. Transactions of China Electrotechnical Society, 2018, 33(1): 9-16.
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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.161004          https://dgjsxb.ces-transaction.com/CN/Y2018/V33/I1/9