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Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm

Crossref DOI link: https://doi.org/10.1007/s11581-024-05914-6

Published Online: 2024-11-18

Published Print: 2025-01

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

Authors

Mo, Daijiang

Wang, Shunli

Zhang, Mengyun

Fan, Yongcun

Wu, Wenjie

Fernandez, Carlos

Su, Qiyong
Funding

Funding for this research was provided by:

National Natural Science Foundation of China,China (62173281)

National Natural Science Foundation of China (61801407)
License Information

Text and Data Mining valid from 2024-11-18

Version of Record valid from 2024-11-18
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Article History

Received: 14 June 2024

Revised: 25 September 2024

Accepted: 27 October 2024

First Online: 18 November 2024

Declarations

:

: The authors declare no competing interests.

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