A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve

Zuhang Chen; Yelin Deng; Honglei Li; Wei Wei Liu

doi:10.1109/VPPC55846.2022.10003360

A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve

Zuhang Chen^*
, Yelin Deng
, Honglei Li
, Wei Wei Liu

^*Corresponding author for this work

Soochow University
Dalian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Lithium-iron phosphate batteries retired from electric vehicles still have 80% nominal capacity and can be used in utilization. To ensure the electrical performance in second-use utilization, the batteries need to be sorted and regrouped. Effective methods often take a long time and increase the cost. The incremental capacity (IC) curve is derived by calculating the derivative of the charging capacity to battery voltage, which is widely used to analyze battery aging mechanisms. This study found that the similarity of 'peaks' in the IC curve can reflect the consistency of voltage and capacity loss. Therefore, a retired battery sorting method based on the IC curve is proposed and applied to 320 retired 18650 batteries. In this method, the K-Means algorithm is first used for clustering, and the T test was used to further improve the clustering degree within the group. The mean square error of each group was reduced by more than 60%. Finally, the results are verified by experiments, which proves the feasibility of the IC curves in retired battery sorting.

Original language	English
Title of host publication	2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665475877
DOIs	https://doi.org/10.1109/VPPC55846.2022.10003360
State	Published - 2022
Externally published	Yes
Event	2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Merced, United States Duration: 1 Nov 2022 → 4 Nov 2022

Publication series

Name	2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings

Conference

Conference	2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022
Country/Territory	United States
City	Merced
Period	1/11/22 → 4/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Battery sorting and regrouping
Clustering
Echelon use
Incremental capacity curve

Access to Document

10.1109/VPPC55846.2022.10003360

Cite this

Chen, Z., Deng, Y., Li, H., & Liu, W. W. (2022). A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve. In 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings (2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VPPC55846.2022.10003360

Chen, Zuhang ; Deng, Yelin ; Li, Honglei et al. / A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve. 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings).

@inproceedings{a1e0423ee5674b8aa22e83b6ced6f2df,

title = "A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve",

abstract = "Lithium-iron phosphate batteries retired from electric vehicles still have 80\% nominal capacity and can be used in utilization. To ensure the electrical performance in second-use utilization, the batteries need to be sorted and regrouped. Effective methods often take a long time and increase the cost. The incremental capacity (IC) curve is derived by calculating the derivative of the charging capacity to battery voltage, which is widely used to analyze battery aging mechanisms. This study found that the similarity of 'peaks' in the IC curve can reflect the consistency of voltage and capacity loss. Therefore, a retired battery sorting method based on the IC curve is proposed and applied to 320 retired 18650 batteries. In this method, the K-Means algorithm is first used for clustering, and the T test was used to further improve the clustering degree within the group. The mean square error of each group was reduced by more than 60\%. Finally, the results are verified by experiments, which proves the feasibility of the IC curves in retired battery sorting.",

keywords = "Battery sorting and regrouping, Clustering, Echelon use, Incremental capacity curve",

author = "Zuhang Chen and Yelin Deng and Honglei Li and Liu, \{Wei Wei\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 ; Conference date: 01-11-2022 Through 04-11-2022",

year = "2022",

doi = "10.1109/VPPC55846.2022.10003360",

language = "英语",

series = "2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings",

address = "美国",

}

Chen, Z, Deng, Y, Li, H & Liu, WW 2022, A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve. in 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings. 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022, Merced, United States, 1/11/22. https://doi.org/10.1109/VPPC55846.2022.10003360

A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve. / Chen, Zuhang; Deng, Yelin; Li, Honglei et al.
2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve

AU - Chen, Zuhang

AU - Deng, Yelin

AU - Li, Honglei

AU - Liu, Wei Wei

PY - 2022

Y1 - 2022

N2 - Lithium-iron phosphate batteries retired from electric vehicles still have 80% nominal capacity and can be used in utilization. To ensure the electrical performance in second-use utilization, the batteries need to be sorted and regrouped. Effective methods often take a long time and increase the cost. The incremental capacity (IC) curve is derived by calculating the derivative of the charging capacity to battery voltage, which is widely used to analyze battery aging mechanisms. This study found that the similarity of 'peaks' in the IC curve can reflect the consistency of voltage and capacity loss. Therefore, a retired battery sorting method based on the IC curve is proposed and applied to 320 retired 18650 batteries. In this method, the K-Means algorithm is first used for clustering, and the T test was used to further improve the clustering degree within the group. The mean square error of each group was reduced by more than 60%. Finally, the results are verified by experiments, which proves the feasibility of the IC curves in retired battery sorting.

AB - Lithium-iron phosphate batteries retired from electric vehicles still have 80% nominal capacity and can be used in utilization. To ensure the electrical performance in second-use utilization, the batteries need to be sorted and regrouped. Effective methods often take a long time and increase the cost. The incremental capacity (IC) curve is derived by calculating the derivative of the charging capacity to battery voltage, which is widely used to analyze battery aging mechanisms. This study found that the similarity of 'peaks' in the IC curve can reflect the consistency of voltage and capacity loss. Therefore, a retired battery sorting method based on the IC curve is proposed and applied to 320 retired 18650 batteries. In this method, the K-Means algorithm is first used for clustering, and the T test was used to further improve the clustering degree within the group. The mean square error of each group was reduced by more than 60%. Finally, the results are verified by experiments, which proves the feasibility of the IC curves in retired battery sorting.

KW - Battery sorting and regrouping

KW - Clustering

KW - Echelon use

KW - Incremental capacity curve

UR - https://www.scopus.com/pages/publications/85146708998

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DO - 10.1109/VPPC55846.2022.10003360

M3 - 会议稿件

AN - SCOPUS:85146708998

T3 - 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings

BT - 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022

Y2 - 1 November 2022 through 4 November 2022

ER -

Chen Z, Deng Y, Li H, Liu WW. A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve. In 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings). doi: 10.1109/VPPC55846.2022.10003360

A sorting method of retired lithium-ion batteries using the improved k-means algorithm based on the incremental capacity curve

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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