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Enhancing EV lithium-ion battery management: automated machine learning for early remaining useful life prediction with innovative multi-health indicators

Crossref DOI link: https://doi.org/10.1007/s11227-024-06264-w

Published Online: 2024-06-04

Published Print: 2024-09

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

Authors

Mishra, Shivendu

Choubey, Anurag

Reddy, Bollampalli Areen

Misra, Rajiv
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Text and Data Mining valid from 2024-06-04

Version of Record valid from 2024-06-04
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Article History

Accepted: 21 May 2024

First Online: 4 June 2024

Declarations

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: The authors declare that there is no conflict of interest regarding the publication of this paper.

: Not applicable.

: All the authors declare their consent to participate in this research article.

: All the authors declare their consent for publication of the article on acceptance.

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