郑岳久;李家琦;朱志伟;来鑫;周正;

• 1:上海理工大学机械工程学院

摘要(Abstract)：

由于在使用过程中造成的电池间的不一致性,退役锂离子电池在储能应用等梯次利用前要进行一致性分选。然而,现有的退役锂电池分选方法存在着效率低下的问题,并且研究多集中于单体,针对模块层面的分选方法相对欠缺。为此提出了一种基于机器学习算法的退役锂电池模块快速分选方法。首先阐述了由于电池不一致性所带来的串联充电曲线不同的现象,基于此原理设计了分选步骤;其次,提出了基于支持向量机的筛选模型,实现了利用少部分样品电池的特征电压筛选大批量的退役电池;进一步,提出了一种针对模块级别的退役电池重组方法,以应对实际工程中电池模块难以拆解的特性。结果表明,相较于传统方法,所提退役电池模块快速分选方法大幅提升了分选效率,同时解决了退役锂电池模块分选的问题。

关键词(KeyWords)： 锂离子电池;快速分选;支持向量机;充电曲线;成组理论

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51877138,51977131);; 上海市青年科技启明星(19QA1406200)~~

作者(Author): 郑岳久;李家琦;朱志伟;来鑫;周正;

Email:

DOI: 10.13335/j.1000-3673.pst.2020.0121

参考文献(References)：

• [1]韩路，贺狄龙，刘爱菊，等．动力电池梯次利用研究进展[J]．电源技术，2014,38(3):548-550.Han Lu,He Dilong,Liu Aiju,et al.Advances in secondary use research of power Li-ion battery[J]. Chinese Journal of Power Sources,2014,38(3):548-550(in Chinese).
• [2]刘念，唐霄，段帅，等．考虑动力电池梯次利用的光伏换电站容量优化配置方法[J]．中国电机工程学报，2013,33(4):34-44.Liu Nian,Tang Xiao,Duan Shuai,et al.Capacity optimization method for PV-based battery swapping stations considering second-use of electric vehicle batteries[J].Proceedings of the CSEE,2013,33(4):34-44(in Chinese).
• [3]甘伟，郭剑波，李相俊，等．面向多应用需求的分布式储能优化调度[J]．电网技术，2019,43(5):1504-1511.Gan Wei,Guo Jianbo,Li Xiangjun,et al.Distributed energy storage optimization scheduling for multiple application requirements[J]. Power System Technology, 2019, 43(5):1504-1511(in Chinese).
• [4]周萍，高寒，郑岳久，等．一种基于附加电池的锂电池组主动均衡方法[J]．电子科技，2019,32(6):37-42.Zhou Ping,Gao Han,Zheng Yuejiu,et al.An active equalization method for lithium-ion battery pack based on additional battery[J].Electronic Science and Technology,2019,32(6):37-42(in Chinese).
• [5]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.
• [6] Zheng Y,Ouyang M,Lu L,et al.Understanding aging mechanisms in lithium-ion battery packs:From cell capacity loss to pack capacity evolution[J].Journal of Power Sources,2015(278):287-295.
• [7]来鑫，秦超，郑岳久，等．基于恒流充电曲线电压特征点的锂离子电池自适应容量估计方法[J]．汽车工程，2019,41(1):1-6.Lai Xin,Qin Chao,Zheng Yuejiu,et al.An adaptive capacity estimation scheme for lithium-ion battery based on voltage characteristic points in constant-current charging curve[J].Automotive Engineering,2019,41(1):1-6(in Chinese).
• [8] He X,Zhang G,Feng X,et al.A facile consistency screening approach to select cells with better performance consistency for commercial 18650 lithium ion cells[J]. International Journal of Electrochemical Science,2017,12(11):10239-10258.
• [9]李相俊，王上行，惠东．电池储能系统运行控制与应用方法综述及展望[J]．电网技术，2017,41(10):3315-3325.Li Xiangjun,Wang Shangxing,Hui Dong.Summary and prospect of operation control and application method for battery energy storage systems[J].Power System Technology,2017,41(10):3315-3325(in Chinese).
• [10] Zhou L,He L,Zheng Y,et al.Massive battery pack data compression and reconstruction using a frequency division model in battery management systems[J].Journal of Energy Storage,2020(28):101252.
• [11] Schuster S F,Brand M J,Campestrini C,et al.Correlation between capacity and impedance of lithium-ion cells during calendar and cycle life[J].Journal of Power Sources,2016(305):191-199.
• [12] Jiang Y,Jiang J,Zhang C,et al.Recognition of battery aging variations for LiFePO4 batteries in 2nd use applications combining incremental capacity analysis and statistical approaches[J].Journal of Power Sources,2017(360):180-188.
• [13] Fang K,Chen S,Mu D,et al.Investigation of nickel-metal hydride battery sorting based on charging thermal behavior[J].Journal of Power Sources,2013(224):120-124.
• [14] Zhang J,Huang J,Chen L,et al.Lithium-ion battery discharge behaviors at low temperatures and cell-to-cell uniformity[J].Journal of Automotive Safety and Energy,2014(5):391-400.
• [15] Lai X,Qiao D,Zheng Y,et al.A rapid screening and regrouping approach based on neural networks for large-scale retired lithium-ion cells in second-use applications[J].Journal of Cleaner Production,2019(213):776-791.
• [16] Lai X,Qiao D,Zheng Y,et al.A novel screening method based on a partially discharging curve using a genetic algorithm and back-propagation model for the cascade utilization of retired lithium-ion batteries[J].Electronics,2018,7(12):399.
• [17] Yang J,Xia B,Huang W,et al.Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis[J].Applied Energy,2018(212):1589-1600.
• [18] Goh T,Park M,Seo M,et al.Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes[J].Energy,2017(135):257-268.
• [19] Han X,Ouyang M,Lu L,et al.A comparative study of commercial lithium ion battery cycle life in electric vehicle:capacity loss estimation[J].Journal of Power Sources,2014(268):658-669.
• [20] Vapnik V N.An overview of statistical learning theory[J].IEEE Transactions on Neural Networks,1999,10(5):988-999.
• [21]谭琨，杜培军．基于支持向量机的高光谱遥感图像分类[J]．红外与毫米波学报，2008(2):123-128.Tan Kun, Du Peijun. Hyperspectral remote sensing image classification based on support vector machine[J].Journal of Infrared and Millimeter Waves,2008(2):123-128(in Chinese).
• [22]陈永义，俞小鼎，高学浩，等．处理非线性分类和回归问题的一种新方法(I)——支持向量机方法简介[J]．应用气象学报，2004,5(3):345-354.Chen Yongyi,Yu Xiaoding,Gao Xuehao,et al.A new method for non-linear classify and non-linear regression I:introduction to support vector machine[J].Journal of Applied Meteorological Science,2004,5(3):343-354(in Chinese).
• [23] Xie M,Wang D,Xie L.One SVR modeling method based on kernel space feature[J]. IEEJ Transactions on Electrical and Electronic Engineering,2018,13(1):168-174.
• [24] Huang J,Chen D,Yang Y,et al.Battery grouping based on improved K-means with curve fitting[C]//2018 13th IEEE Conference on Industrial Electronics and Applications(ICIEA).Wuhan,China:IEEE,2018:1966-1971.
• [25]靳康萌，张沛，邓晓洋，等．基于K-means聚类技术改进的多线性蒙特卡洛概率能流算法[J]．电网技术，2019,43(1):65-73.Jin Kangmeng, Zhang Pei, Deng Xiaoyang, et al. Improved multi-linear monte carlo probabilistic energy flow calculation method based on K-means clustering technique[J]. Power System Technology,2019,43(1):65-73(in Chinese).
• [26] Lai X,Zheng Y,Sun T.A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries[J].Electrochimica Acta,2018(259):566-577.
• [27] Zhou L,Zheng Y,Ouyang M,et al.A study on parameter variation effects on battery packs for electric vehicles[J].Journal of Power Sources,2017(364):242-252.