多温域下的退役锂电池的分选方法、设备及介质

By conducting charge-discharge tests and feature extraction under multiple temperature domains, and combining DBSCAN and FCM algorithms for sorting retired lithium batteries, the problem of insufficient temperature adaptability in room temperature sorting is solved, the sorting accuracy and consistency are improved, and the safety and utilization rate of battery packs are ensured.

CN121997087BActive Publication Date: 2026-07-17ZHENGTONG (SHENZHEN) CIRCULATION TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHENGTONG (SHENZHEN) CIRCULATION TECHNOLOGY CO LTD
Filing Date
2026-04-08
Publication Date
2026-07-17

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Abstract

本申请公开了一种多温域下的退役锂电池的分选方法、设备及介质，涉及电池回收领域，该方法包括：针对每个退役锂电池：将各温度下的电压‑容量数据转化为增量容量曲线，以分别提取IC特征；根据各温度下的IC特征构建温度响应差分特征集和温度稳定性指数集；基于温度响应差分特征集、温度稳定性指数集和各温度下的IC特征得到多温域特征向量；对多温域特征矩阵中的各特征分配权重进行加权处理，得到加权特征矩阵；基于加权特征矩阵对多个退役锂电池进行异常识别，以剔除噪声样本，对剩余的多个退役锂电池进行聚类处理，划分到相应地类别标签；通过将温度维度纳入分选决策过程，增强特征体系的判别能力与适用范围，提高分选结果的准确性与稳定性。
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