电池模组一致性影响因素在放电电压曲线簇上的表征

doi:10.19595/j.cnki.1000-6753.tces.190392

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (52389 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The discharge voltage curves contain all the state information of battery, and it is of great value to study the discharge voltage curves of the cells in the module for analyzing module consistency. A characterization method of influencing factors of battery module consistency was proposed based on discharge voltage curves. Firstly, taking the equivalent circuit model, capacity fading, thermal accumulation, coulomb efficiency and internal resistance growth into account, the battery model was built. Then, a characterization approach of influencing factors of battery module consistency on discharge voltage curves was put forward. In addition, combined the battery model with the approach mentioned above, a module model of four batteries in series was established in Simulink. The characteristics of the consistency influencing factors on the discharge voltage curve were studied with the increasing number of charging cycles. Finally, the method and the simulation results were verified from the perspective of module capacity loss. It is shown that the proposed method can characterize the influencing factors of battery module consistency on the discharge voltage curves effectively, which provides a reference for battery sorting.

Key words： Power battery battery modules discharge voltage curves Rint equivalent circuit consistency

Received: 08 April 2019 Published: 24 April 2020

PACS:

TM911.3

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Wang Shuai
	Yin Zhongdong
	Zheng Zhong
	Zou Hanyu
	Wang Yinshun

Cite this article:

Wang Shuai,Yin Zhongdong,Zheng Zhong等. Representation of Influence Factors for Battery Module Consistency on Discharge Voltage Curves[J]. Transactions of China Electrotechnical Society, 2020, 35(8): 1836-1848.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190392 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I8/1836

[1] 李晓宇, 徐佳宁, 胡泽徽. 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.The health parameter estimation method for LiFePO₄ battery echelon use[J]. Transactions of China Electrotechnical Society, 2018, 33(1): 9-16.
[2] 刘红锐, 杜春峰, 李博, 等. 一种基于混合斩波电路的蓄电池组高速能量均衡器的研究[J]. 电工技术学报, 2018, 33(2): 472-478.
Liu Hongrui, Du Chunfeng, Li Bo, et al.Research on high speed energy equalizer for battery module based on mixed chopper circuit[J]. Transactions of China Electrotechnical Society, 2018, 33(2): 472-478.
[3] 吕航, 刘承志, 尹栋, 等. 深海动力磷酸铁锂电池组均衡方案设计优化[J]. 电工技术学报, 2016, 31(19): 232-238.
Lü Hang, Liu Chengzhi, Yin Dong, et al.The design and optimize of equalization schemes for underwater power LiFePO₄ battery stack[J]. Transactions of China Electrotechnical Society, 2016, 31(19): 232-238.
[4] Andrea D.Battery management systems for large lithium-ion battery modules[M]. London: Artech House, 2010: 13-15.
[5] 徐顺刚, 王金平, 许建平. 一种延长电动汽车蓄电池寿命的均衡充电控制策略[J]. 中国电机工程学报, 2012, 32(3): 43-48.
Xu Shungang, Wang Jinping, Xu Jianping.An equalizing charge control strategy to extend battery cycle life for electric vehicles[J]. Proceedings of the CSEE, 2012, 32(3): 43-48.
[6] 张剑波, 黄俊, 李哲. 电池分选方法及系统[P]. 中国: 201410071784.7, 2014-05-28.
[7] 吴伟静. 电动汽车锂动力电池分选及成组技术研究[D]. 吉林: 吉林大学, 2015.
[8] Paolo Raspa, Leonardo Frinconi, Adriano mancini, et al. Selection of lithium cells for EV battery module using self organizing maps[J]. Automotive Safety and Energy, 2011, 2(2): 157-164.
[9] Fang Kaizheng, Chen Shi, Mu Daobin, et al.Investigation of nickel-metal hydride battery sorting based on charging thermal behavior[J]. Journal of Power Sources, 2013, 224: 120-124.
[10] 杜常清, 罗冬, 张弛, 等. 锂离子动力电池单体筛选方法研究[J]. 电源技术, 2017, 41(7): 977-980.
Du Changqing, Luo Dong, Zhang Chi, et al.Study on screening method of lithium-ion power battery[J]. Chinese Journal of Power Sources, 2017, 41(7): 977-980.
[11] 王东梅, 冯伟峰, 白红燕, 等. 基于电压平台的电池聚类分选算法研究[J]. 电源技术, 2016, 40(4): 994-997.
Wang Dongmei, Feng Weifeng, Bai Hongyan, et al.Research on clustering algorithm based on voltage platform for cells classification[J]. Chinese Journal of Power Sources, 2016, 40(4): 994-997.
[12] Hu Xiaosong, Li Shengbo, Peng Huei.A comparative study of equivalent circuit models for Li-ion batteries[J]. Journal of Power Sources, 2012,198: 359-367.
[13] Matsushima T.Deterioration estimation of lithiumion cells in direct current power supply systems and characteristics of 400Ah lithium-ion cells[J]. Journal of Power Sources, 2009, 189(1): 847-854.
[14] Zhou Long, Zheng Yuejiu, Ouyang Minggao, et al.A study on parameter variation effects on battery modules for electric vehicles[J]. Journal of Power Sources, 2017, 364: 242-252.
[15] 郑岳久. 车用锂离子动力电池组的一致性研究[D]. 北京: 清华大学, 2014.
[16] Wang J, Liu P, Hicks-Garner J, et al.Cycle-life model for graphite-LiFePO₄ cells[J]. Journal of Power Sources, 2011, 196(8): 3942-3948.