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Lithium battery state of health estimation based on PSO-GWO algorithm optimization under chaotic mapping with hybrid kernel extreme learning machine model

Crossref DOI link: https://doi.org/10.1007/s10800-025-02262-9

Published Online: 2025-02-13

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ding, XvQiang

Ni, YiWei

Zhu, DanDan

Li, ZhiWei

Jiao, YunXiao

Wang, Qi
Funding

Funding for this research was provided by:

School level Young and Middle aged Backbone Teacher Training Special Project of Nantong University of Technology (No. ZQNGGJS202205)
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Text and Data Mining valid from 2025-02-13

Version of Record valid from 2025-02-13
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Article History

Received: 5 October 2024

Accepted: 11 January 2025

First Online: 13 February 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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