A method, apparatus, electronic device, and storage medium for sorting retired batteries.

By analyzing the correlation of sorting characteristic parameters of retired lithium-ion batteries, screening the set of characteristic parameters, calculating weights and generating initial cluster centers, and combining them with a weighted clustering algorithm for sorting, the problem of low sorting accuracy in existing technologies is solved, and the accurate and efficient sorting of retired batteries is achieved.

CN122076734APending Publication Date: 2026-05-26CHINA HUADIAN ENG CO LTD +1
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA HUADIAN ENG CO LTD
Filing Date
2025-12-29
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing methods for sorting retired lithium-ion batteries suffer from low sorting accuracy due to a lack of correlation analysis in the selection of characteristic parameters, subjective allocation of parameter weights, and random selection of initial cluster centers. This makes it difficult to meet the needs of precise tiered utilization of retired batteries.

Method used

By acquiring multiple sorting characteristic parameters of retired batteries, analyzing the correlation of parameters, screening the set of characteristic parameters, calculating parameter weights using fuzzy comprehensive evaluation, generating initial cluster centers, and combining them with a weighted clustering algorithm for sorting.

Benefits of technology

It enables precise and efficient sorting of retired batteries, improves the consistency and reliability of sorting results, and provides a high-quality classification foundation for subsequent tiered utilization.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122076734A_ABST
    Figure CN122076734A_ABST
Patent Text Reader

Abstract

This application discloses a method, apparatus, electronic device, and storage medium for sorting retired batteries, relating to the field of battery testing technology. The method includes: acquiring multiple sorting characteristic parameters of the retired batteries; analyzing the correlation between the sorting characteristic parameters and selecting a set of characteristic parameters for sorting based on the correlation verification results; calculating the weight of each characteristic parameter using fuzzy comprehensive evaluation based on the set of characteristic parameters, and generating initial cluster centers according to the results of the comprehensive evaluation; and sorting the retired batteries using a weighted clustering algorithm by combining the weights and the initial cluster centers. This method can solve the problems of low sorting accuracy caused by the lack of correlation analysis in the selection of characteristic parameters, subjective allocation of parameter weights, and random selection of initial cluster centers in related technologies, achieving the technical effect of accurate and efficient sorting of retired batteries.
Need to check novelty before this filing date? Find Prior Art