A Machine-Learning-Based Approach to Analyse the Feature Importance and Predict the Electrode Mass Loading of a Solid-State Battery

A Machine-Learning-Based Approach to Analyse the Feature Importance and Predict the Electrode Mass Loading of a Solid-State Battery

Solid-state batteries are currently developing into one of the most promising battery types for both the electrification of transport and for energy storage applications due to their high energy density and safe operating behaviour. The performance of solid-state batteries is largely determined by t...

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Bibliographic Details
Main Authors: Wenming Dai, Yong Xiang, Wenyi Zhou, Qiao Peng
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:World Electric Vehicle Journal
Subjects:
battery manufacturing
feature importance analysis
electrode mass loading prediction
machine learning
regression model
Online Access:https://www.mdpi.com/2032-6653/15/2/72

Internet

https://www.mdpi.com/2032-6653/15/2/72

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