ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection
Publication date:
2024
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Citación:
Journal of Power Sources, 592 (2024); doi:10.1016/j.jpowsour.2023.233910
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OA ATUO23
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This work has been partially supported by the Ministry of Economy, Industry and Competitiveness (‘‘Ministerio de Economía, Industria 𝑦 Competitividad’’) from Spain/FEDER under grants PID2020-112726-RB-I00 and PID2022-141792OB-I00, and by Principado de Asturias, grant SV-PA-21-AYUD/2021/50994. M.D. was funded by the Office of Naval Research (ONR), grant number N00014-19-1-2159.
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