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Research on group methods of second-use Li-ion batteries based on k-means clustering model

机译:基于k均值聚类模型的二手锂离子电池分组方法研究

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Aiming at the fact that the weeded out car batteries are with bad consistency of capacity and internal resistance, screening and grouping must be adopted to second-use them. This paper determines the characteristic indexes for screening and grouping by analyzing the inconsistency of the second-use batteries and figures out the weighted value of each characteristic index. By grouping the second-use batteries based on the k-means clustering model, batteries are with preferable consistency and also, they have high capacity utilization ratio.
机译:鉴于淘汰的汽车电池在容量和内阻方面的一致性很差,必须对它们进行二次筛选和分组。通过分析二次电池的不一致性,确定筛选和​​分组的特征指标,并求出各特征指标的权重值。通过基于k均值聚类模型对二次电池进行分组,可以使电池具有较好的一致性,并且具有较高的容量利用率。

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