RESEARCH ON CHARACTERISTICS AND SORTING METHOD OF RETIRED POWER BATTERIES

Wang Qiao; Li Haiying; Wang Xiaoqi; Ding Mengshan

doi:10.19912/j.0254-0096.tynxb.2024-0752

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 273-283. DOI: 10.19912/j.0254-0096.tynxb.2024-0752

RESEARCH ON CHARACTERISTICS AND SORTING METHOD OF RETIRED POWER BATTERIES

Wang Qiao, Li Haiying, Wang Xiaoqi, Ding Mengshan

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Abstract

Aiming at the problem of poor consistency between individual cells, low sorting efficiency and failure to meet the use requirements during the recycling of retired lithium batteries, the study first tested the capacity, internal resistance, self-discharge characteristics, cycle life characteristics and charge and discharge thermal behavior of waste lithium batteries to analyze the current status of the battery performance; then the principal component analysis （PCA） method was used to screen the sorting factors of seven performance parameters, including charging capacity, discharge capacity, coulomb efficiency, charging energy, discharge energy, open circuit voltage and internal resistance; finally, the K-means algorithm was optimized by preprocessing the data, optimizing the initial point selection method and improving the distance formula to achieve clustering of the battery. The results show that high-rate discharge will accelerate battery aging, and the battery discharge capacity will decrease significantly under lower temperature conditions. Through PCA algorithm analysis, the battery discharge capacity, open circuit voltage and internal resistance can be selected as sorting factors, fully reflecting battery performance. The improved K-means algorithm was used to cluster and sort 300 groups of data, and it was found that when K=4, the clustering effect was optimal.

Key words

waste lithium batteries / lithium battery characteristics / clustering and sorting / principal component analysis / K-means clustering algorithm

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Wang Qiao, Li Haiying, Wang Xiaoqi, Ding Mengshan. RESEARCH ON CHARACTERISTICS AND SORTING METHOD OF RETIRED POWER BATTERIES[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 273-283 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0752

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