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

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Document type:: Zeitschriftenaufsatz
Author(s):: Faraji Niri, Mona ; Aslansefat, Koorosh ; Haghi, Sajedeh ; Hashemian, Mojgan ; Daub, Rüdiger ; Marco, James
Title:: A Review of the Applications of Explainable Machine Learning for Lithium-Ion Batteries: From Production to State and Performance Estimation
Keywords:: Review ; lithium-ion battery ; machine learning ; explainability ; XML ; interpretability ; manufacturing processes ; state of health ; state of charge
Journal title:: Energies
Year:: 2023
Journal volume:: 16
Journal issue:: 17
Fulltext / DOI:: doi:10.3390/en16176360
Publisher:: MDPI
E-ISSN:: 1996-1073
Date of publication:: 01.09.2023
CC license:: by, https://creativecommons.org/licenses/by/4.0

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