ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection
Autor(es) y otros:
Fecha de publicación:
2024
Versión del editor:
Citación:
Journal of Power Sources, 592 (2024); doi:10.1016/j.jpowsour.2023.233910
ISSN:
Notas Locales:
OA ATUO23
Patrocinado por:
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.
Colecciones
- Artículos [35473]
- Informática [766]
- Investigaciones y Documentos OpenAIRE [7750]
Ficheros en el ítem
![Thumbnail](/dspace/bitstream/handle/10651/71143/J1.pdf.jpg?sequence=4&isAllowed=y)