Transfer learning for state of charge estimation across batteries and chemistries: a lightweight, physics-guided LSTM with regime-aware temporal attention and staged adaptation
Crossref DOI link: https://doi.org/10.1007/s11581-025-06846-5
Published Online: 2025-11-22
Published Print: 2026-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Özarslan, Ebubekir Buğra
Kursun, Senem
Text and Data Mining valid from 2025-11-22
Version of Record valid from 2025-11-22
Article History
Received: 16 August 2025
Revised: 1 November 2025
Accepted: 5 November 2025
First Online: 22 November 2025
Declarations
:
: The authors declare no competing interests.