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

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

Lithium–ion batteries play a crucial role in clean transportation systems including EVs, aircraft, and electric micromobilities. The design of battery cells and their production process are as important as their characterisation, monitoring, and control techniques for improved energy delivery and su...

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Bibliographic Details
Main Authors: Mona Faraji Niri, Koorosh Aslansefat, Sajedeh Haghi, Mojgan Hashemian, Rüdiger Daub, James Marco
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
lithium–ion battery
machine learning
explainability
XML
interpretability
manufacturing processes
Online Access:https://www.mdpi.com/1996-1073/16/17/6360

Internet

https://www.mdpi.com/1996-1073/16/17/6360

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