Abstract

To address the problem of optional group formation in the process of retired power batteries for secondary use, a detection method based on the ampere-time integration method is used for batch testing of retired power batteries. The dynamic time-bending dynamic time warping distance between different batteries is calculated by comparing the discharge curves during the testing process. Combining the remaining capacity, open circuit voltage and internal resistance of the battery as a common battery classification condition, each condition is normalised and a density canopy + K-means clustering algorithm is applied to regroup the retired power batteries. This method improves the regrouping technique for the retired batteries and improves the performance of the regrouped battery modules in terms of capacity and consistency.

中文翻译：

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基于放电曲线形成二次使用退役动力电池

摘要

针对退役动力电池二次使用过程中出现选择性组化的问题，采用基于安时积分法的检测方法对退役动力电池进行批量检测。通过比较测试过程中的放电曲线，计算不同电池之间的动态时间弯曲动态时间弯曲距离。结合电池剩余容量、开路电压和内阻作为常用的电池分类条件，对每个条件进行归一化，应用密度冠层+K-means聚类算法对退役动力电池进行重新分组。该方法改进了退役电池的重组技术，提高了重组电池模块在容量和一致性方面的性能。