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Lithium-ion battery life prediction using gated convolutional neural network with convolutional block attention module

Published Online: 2025-09-10

Published Print: 2025-10

Authors

Ramdan, Ade https://orcid.org/0000-0002-1043-1600
Zilvan, Vicky https://orcid.org/0000-0001-7896-5804
Rizki Yuliani, Asri https://orcid.org/0000-0002-9114-9884
F. Pardede, Hilman https://orcid.org/0000-0001-8078-7592
Hadiana, Ana https://orcid.org/0000-0003-2971-1650
Suryawati, Endang https://orcid.org/0000-0001-9254-095X
Nur Ihsan, Candra https://orcid.org/0000-0001-5751-9493
Sandra Yuwana, R. https://orcid.org/0000-0003-4046-251X
Fachrur Rozie, Andri https://orcid.org/0000-0003-3378-5580
Sugiarto, Bambang https://orcid.org/0000-0003-0310-8765
Funding

Funding for this research was provided by:

Badan Riset dan Inovasi Nasional (2/III.6/HK/2023)
License Information

Text and Data Mining valid from 2025-09-10

Version of Record valid from 2025-09-10
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Article History

Received: 7 May 2025

Accepted: 8 August 2025

First Online: 10 September 2025

Declarations

:

: Authors declare that there is not conflicts of interest.

: The manuscript will remain under consideration until the editorial process is complete and will not be submitted elsewhere during this time.

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