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An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries.

Xu, Xuntao; Wang, Shunli; Liu, Donglei; Fernandez, Carlos; Blaabjerg, Frede

Authors

Xuntao Xu

Shunli Wang

Donglei Liu

Frede Blaabjerg



Abstract

Capacity sorting is the primary prerequisite for the stepwise utilization of decommissioned power batteries. This study proposes an improved relative integral capacity-K-means clustering (RIC-KMC) method for preliminary sorting of decommissioned power battery capacity. Firstly, according to the electrochemical aging characteristics of decommissioned power batteries, combined with the ampere-time integration algorithm, a new lossless extraction method of the capacity characteristics of Lithium-ion batteries based on the segment voltage is proposed. Second, to minimize the interference of environmental factors and sampling errors on the charging capacity, the relative amount of charging capacity is introduced. Finally, to complete the capacity sorting before the ladder utilization, an improved RIC-KMC method is proposed, which combines the electrochemical aging feature values of decommissioned power batteries extracted from the segment voltage charging capacity with the K-means clustering algorithm. Using three sets of battery charging and discharging data to validate the sorting algorithm, the capacity sorting errors are reduced by 0.926%, 12.381%, and 10.185%, respectively, which verification the validity of the proposed RIC-KMC method. This study provides a new solution for capacity pre-sorting of decommissioned power batteries for stepwise utilization.

Citation

XU, X., WANG, S., LIU, D., FERNANDEZ, C. and BLAABJERG, F. 2024. An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. Journal of physics: conference series [online], 2853: proceedings of the 7th International conference on mechanical, electric and industrial engineering, 21-23 May 2024, Yichang, China, article number 012057. Available from: https://doi.org/10.1088/1742-6596/2853/1/012057

Presentation Conference Type Conference Paper (published)
Conference Name 7th International conference on mechanical, electric and industrial engineering
Start Date May 21, 2024
End Date May 23, 2024
Acceptance Date Sep 16, 2024
Online Publication Date Oct 16, 2024
Publication Date Dec 31, 2024
Deposit Date Oct 21, 2024
Publicly Available Date Oct 21, 2024
Journal Journal of physics: conference series
Print ISSN 1742-6588
Electronic ISSN 1742-6596
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 2853
Article Number 012057
Series ISSN 1742-6596
DOI https://doi.org/10.1088/1742-6596/2853/1/012057
Keywords Power batteries; Capacity; Segment voltage charging capacity
Public URL https://rgu-repository.worktribe.com/output/2537355

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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/

Copyright Statement
Published under licence by IOP Publishing Ltd. Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.




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