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DOI number:10.19562/j.chinasae.qcgc.2025.06.004

Teaching and Research Group:唐汉青, 王丽, 林名强, 武骥

Journal:汽车工程

Key Words:lithium-ion battery, retired batteries, battery sorting, clustering, electrochemical impedance spectroscopy

Abstract:In order to improve the sorting efficiency of retired batteries and reduce data collection cost， to achieve a sorting effect close to complete data by using incomplete data， in this paper， a fast sorting method for retired batteries that integrates clustering and classification is proposed. Firstly， cluster analysis is conducted on complete data to preliminarily group the batteries， and the grouping results are used as battery labels. Secondly， the most valuable segments are selected from incomplete datasets， and a two-layer classification model is trained for classification fitting， thereby achieving rapid sorting of retired lithium-ion batteries. Finally， a validation experiment is conducted on 235 lithium-ion batteries， and the results show that the proposed method has a classification detection accuracy of 95.1% and significantly reduces the time required for sorting.

Indexed by:Journal paper

Discipline:Engineering

Document Type:J

Volume:47

Issue:6

Page Number:1048-1059

Translation or Not:no

Date of Publication:2025-06-25

Included Journals:EI

Links to published journals:https://www.qichegongcheng.com/CN/10.19562/j.chinasae.qcgc.2025.06.004