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Early-stage RUL prediction of lithium-ion batteries using DFLSA-enhanced LSTM with temperature–voltage coupled features

Published Online: 2026-04-29

Published Print: 2026-06

Authors

Zhao, Yao

Jiang, Yuhong

He, Zhaoying

Liu, Wenyi
Funding

Funding for this research was provided by:

Natural Science Foundation of Chongqing Municipality (CSTB2023NSCQ-MSX0164)

China Scholarship Council (202405950006)

Chongqing Jiaotong University (2503035)
License Information

Text and Data Mining valid from 2026-04-29

Version of Record valid from 2026-04-29
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Article History

Received: 14 February 2026

Revised: 9 April 2026

Accepted: 16 April 2026

First Online: 29 April 2026

Declarations

:

: The authors declare no competing interests.

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