A Review of the Applications of Explainable Machine Learning for Lithium-Ion Batteries: From Production to State and Performance Estimation

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Faraji Niri, Mona ; Aslansefat, Koorosh ; Haghi, Sajedeh ; Hashemian, Mojgan ; Daub, Rüdiger ; Marco, James
Titel:: A Review of the Applications of Explainable Machine Learning for Lithium-Ion Batteries: From Production to State and Performance Estimation
Stichworte:: Review ; lithium-ion battery ; machine learning ; explainability ; XML ; interpretability ; manufacturing processes ; state of health ; state of charge
Zeitschriftentitel:: Energies
Jahr:: 2023
Band / Volume:: 16
Heft / Issue:: 17
Volltext / DOI:: doi:10.3390/en16176360
Verlag / Institution:: MDPI
E-ISSN:: 1996-1073
Publikationsdatum:: 01.09.2023
CC-Lizenz:: by, https://creativecommons.org/licenses/by/4.0

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