李建林, 王哲, 李雅欣, 刘若桐, 闫湖, 黄碧斌. 退役动力电池梯级利用分选技术研究[J]. 太阳能学报, 2023, 44(1): 418-425. DOI: 10.19912/j.0254-0096.tynxb.2021-0859
引用本文: 李建林, 王哲, 李雅欣, 刘若桐, 闫湖, 黄碧斌. 退役动力电池梯级利用分选技术研究[J]. 太阳能学报, 2023, 44(1): 418-425. DOI: 10.19912/j.0254-0096.tynxb.2021-0859
Li Jianlin, Wang Zhe, Li Yaxin, Liu Ruotong, Yan Hu, Huang Bibin. RESEARCH ON SORTING TECHNOLOGY OF CASCADE UTILIZATION OF RETIRED POWER BATTERIES[J]. Acta Energiae Solaris Sinica, 2023, 44(1): 418-425. DOI: 10.19912/j.0254-0096.tynxb.2021-0859
Citation: Li Jianlin, Wang Zhe, Li Yaxin, Liu Ruotong, Yan Hu, Huang Bibin. RESEARCH ON SORTING TECHNOLOGY OF CASCADE UTILIZATION OF RETIRED POWER BATTERIES[J]. Acta Energiae Solaris Sinica, 2023, 44(1): 418-425. DOI: 10.19912/j.0254-0096.tynxb.2021-0859

退役动力电池梯级利用分选技术研究

RESEARCH ON SORTING TECHNOLOGY OF CASCADE UTILIZATION OF RETIRED POWER BATTERIES

  • 摘要: 首先利用熵权法对退役电池各特征参数进行权重计算,依据计算结果选取电池剩余容量、开路电压和放电直流等效内阻作为电池聚类的分选因子。其次利用支持向量机算法预测退役电池剩余容量,最后利用K-均值聚类算法将电池分成4种等级,并通过实验证明了该方法的准确性。

     

    Abstract: In this paper,the entropy weight method is used to calculate the weight of each characteristic parameter of the retired battery firstly. According to the calculation result,the remaining capacity,open circuit voltage and discharge DC equivalent internal resistance of the battery are selected as the sorting factors of battery clustering. Secondly,the support vector machine algorithm is used to predict the remaining capacity of the retired battery. Finally,the K-means clustering algorithm is used to divide the battery into four levels,and the accuracy of the method is proved through experiments.

     

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