磷酸铁锂电池梯次利用健康特征参数提取方法

doi:10.19595/j.cnki.1000-6753.tces.161004

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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 words： LiFePO4 battery electrochemical battery model terminal voltage analysis nonlinear least squares method

Received: 06 July 2016 Published: 16 January 2018

PACS:

TM912

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	Li Xiaoyu
	Xu Jianing
	Hu Zehui
	Song Kai
	Zhu Chunbo

Cite this article:

Li Xiaoyu,Xu Jianing,Hu Zehui等. The Health Parameter Estimation Method for LiFePO₄ Battery Echelon Use[J]. Transactions of China Electrotechnical Society, 2018, 33(1): 9-16.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.161004 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I1/9

[1] Chen T, Hsieh T, Yang N, et al. Evaluation of advantages of an energy storage system using recycled EV batteries[J]. International Journal of Electrical Power & Energy Systems, 2013, 45 (1): 264-270.
[2] 张彩萍, 姜久春, 张维戈, 等. 梯次利用锂离子电池电化学阻抗模型及特性参数分析[J]. 电力系统自动化, 2013, 37(1): 54-58. Zhang Caiping, Jiang Jiuchun, Zhang Weige, et al. Characterization of electrochemical impedance equivalent model and parameters for Li-ion batteries echelon use[J]. Automation of Electric Power Systems, 2013, 37(1): 54-58.
[3] 徐晶. 梯次利用锂离子电池容量和内阻变化特性研究[D]. 北京: 北京交通大学, 2014.
[4] 马泽宇, 姜久春, 张维戈, 等. 锂离子动力电池热老化的路径依赖性研究[J]. 电工技术学报, 2014, 29(5): 221-227. Ma Zeyu, Jiang Jiuchun, Zhang Weige, et al. Research on path dependence of large format LiMn 2 O 4 battery degradation in thermal aging[J]. Transactions of China Electrotechnical Society, 2014, 29(5): 221-227.
[5] Neubauer J, Pesaran A. The ability of battery second use strategies to impact plug-in electric vehicle prices and serve utility energy storage applications[J]. Journal of Power Sources, 2011, 196(23): 10351- 10358.
[6] Viswanathan V V, Kintner-Meyer M. Second use of transportation batteries: maximizing the value of batteries for transportation and grid services[J]. IEEE Transactions on Vehicular Technology, 2011, 60(7): 2963-2970.
[7] Schneider E L, Kindlein W, Souza S, et al. Assessment and reuse of secondary batteries cells[J]. Journal of Power Sources, 2009, 189(2): 1264-1269.
[8] Schneider E L, Oliveira C T, Brito R M, et al. Classification of discarded NiMH and Li-ion batteries and reuse of the cells still in operational conditions in prototypes[J]. Journal of Power Sources, 2014, 262: 1-9.
[9] Dubarry M, Liaw B Y. Identify capacity fading mechanism in a commercial LiFePO 4 cell[J]. Journal of Power Sources, 2009,194(1): 541-549.
[10] Dubarry M, Truchot C, Liaw B Y. Cell degradation in commercial LiFePO 4 cells with high-power and high-energy designs[J]. Journal of Power Sources, 2014, 258: 408-419.
[11] Doyle M, Fuller T F, Newman J. Modeling of galvanostatic charge and discharge of the lithium polymer insertion cell[J]. Journal of the Electrochemical Society, 1993, 140(6): 1526-1533.
[12] Safari M, Delacourt C. Modeling of a commercial graphite/LiFePO 4 cell[J]. Journal of the Electrochemical Society, 2011, 158(5): A1125-A1135.
[13] 刘艳莉, 戴胜, 程泽, 等. 基于有限差分扩展卡尔曼滤波的锂离子电池SOC估计[J]. 电工技术学报, 2014, 29(1): 221-228. Liu Yanli, Dai Sheng, Cheng Ze, et al. Estimation of state of charge of Lithium-ion battery based on finite difference extended Kalman filter[J]. Transactions of China Electrotechnical Society, 2014, 29(1): 221-228.
[14] 冯飞, 宋凯, 逯仁贵, 等. 磷酸铁锂电池组均衡控制策略及荷电状态估计算法[J]. 电工技术学报, 2015, 30(1): 22-29. Feng Fei, Song Kai, Lu Rengui, et al. Equalization control strategy and SOC estimation for LiFePO 4 battery pack[J]. Transactions of China Electrotechnical Society, 2015, 30(1): 22-29.
[15] 谢涛, 曹军威, 高田, 等. 基于滑动最小二乘算法和电池荷电状态的储能系统平滑控制策略[J]. 电力系统保护与控制, 2015, 43(5): 1-7. Xie Tao, Cao Junwei, Gao Tian, et al. An energy storage system smoothing control strategy based on sliding least square algorithm and battery SOC[J]. Power System Protection and Control, 2015, 43(5): 1-7.
[16] Li Xiaoyu, Song Kai, Wei Guo, et al. A novel grouping method for Lithium iron phosphate batteries based on fractional joint Kalman filter and a new modified K-means clustering algorithm[J]. Energies, 2015(8): 7704-7728.