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纯电动车车载锂离子动力电池均是成组应用,电池单体之间存在容量、内阻和电压等多个参数的差异,如何筛选成组成为一个关键性问题。对世博会大巴车退运电池进行了容量、内阻等测试,随后使用聚类算法对退运电池串联成组,其中电池筛选指标采用了最大可用容量、欧姆内阻、极化内阻和平台电压。由于各指标之间的非相关性,使用定性与定量相结合的层次分析法计算出各个指标之间的权重。对相关数据归一化并加权处理后,使用K均值(K-means)聚类方法进行聚类分组,对选定电池进行重新成组。使用实物试验的方式对成组后的模组进行测试,采用容量利用率评价模组的一致性,验证了成组方法的可行性和有效性。
Pure electric vehicle lithium-ion battery pack is a group of applications, there is capacity between the single cell, internal resistance and voltage and other parameters of the differences, how to filter into a group as a key issue. The Expo bus returned battery capacity, internal resistance and other tests, and then use the clustering algorithm on the return of batteries in series into groups, including the battery selection criteria using the maximum available capacity, ohmic resistance, polarization resistance and platform voltage . Due to the non-correlation between the indicators, AHP is used to calculate the weight of each index by using AHP. After the relevant data are normalized and weighted, clustering is performed by K-means clustering method, and the selected cells are regrouped. The physical test is used to test the module after grouping. The capacity utilization ratio is used to evaluate the consistency of the module, which verifies the feasibility and effectiveness of the group method.