电工技术学报  2017, Vol. 32 Issue (4): 189-195    DOI:
电工理论与新技术 |
基于分数阶理论的车用锂离子电池建模及 荷电状态估计
刘树林, 崔纳新, 李岩, 张承慧
山东大学控制科学与工程学院 济南 250061
Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Theory of Fractional Order for Electric Vehicle
Liu Shulin, Cui Naxin, Li Yan, Zhang Chenghui
School of Control Science and Engineering Shandong University Jinan 250061 China
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摘要 针对电动汽车动力锂离子电池的状态估计问题,提出一种基于分数阶等效电路建模方法,并采用分数阶卡尔曼滤波算法估计电池荷电状态(SOC)。首先建立基于二阶等效电路的分数阶电池模型,采用遗传算法辨识阶数,然后利用分数阶卡尔曼滤波算法估计电池SOC,并与扩展卡尔曼滤波算法进行比较。实验结果表明,在恒流放电下采用分数阶模型,其端电压最大绝对误差为0.014V,SOC最大估计误差不超过2%。本文提出的基于二阶等效电路的分数阶模型及分数阶卡尔曼滤波算法,不仅给出了一种准确、可靠的建模方法,而且为有效提高电池管理系统中SOC估计的准确性提供了途径。
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刘树林
崔纳新
李岩
张承慧
关键词 分数阶理论 锂离子电池建模 分数阶卡尔曼滤波算法 荷电状态估计    
Abstract:This paper presents a fractional order equivalent circuit model and uses fractional order Kalman filter (FOKF) method for state of charge (SOC) estimation of lithium-ion power batteries in electric vehicles. Firstly, a fractional order battery model was established based on second-order equivalent circuit and the fractional orders were identified by genetic algorithm. The SOC was estimated depending on the FOKF method. Compared with extend Kalman filter (EKF) method, it is shown that the maximum absolute error of the terminal voltage is 0.014V under constant current discharge test. The maximum SOC estimation error is under 2% by FOKF, which has higher accuracy and faster convergence speed. The fractional order model proposed in this paper not only presents an accurate and reliable battery model, but also provides an effective means for improving the accuracy of SOC estimation in battery management system.
Key wordsFractional order theory    lithium-ion battery modeling    fractional order Kalman filter    state of charge estimation   
收稿日期: 2016-02-18      出版日期: 2017-03-01
PACS: TP273  
基金资助:国家自然科学基金重点项目(61633015),国家自然科学基金(61273097)和国家重大科研仪器研制项目(61527809)资助
通讯作者: 崔纳新 女,1968年生,博士,教授,研究方向为电动汽车驱动系统优化控制、能量管理及电池管理系统等。E-mail: cuinx@sdu.edu.cn   
作者简介: 刘树林 男,1988年生,博士,研究方向为电动汽车动力电池状态估计。E-mail: shulin1023@sina.com
引用本文:   
刘树林, 崔纳新, 李岩, 张承慧. 基于分数阶理论的车用锂离子电池建模及 荷电状态估计[J]. 电工技术学报, 2017, 32(4): 189-195. Liu Shulin, Cui Naxin, Li Yan, Zhang Chenghui. Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Theory of Fractional Order for Electric Vehicle. Transactions of China Electrotechnical Society, 2017, 32(4): 189-195.
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https://dgjsxb.ces-transaction.com/CN/Y2017/V32/I4/189