Diagnosing health in composite battery electrodes with explainable deep learning and partial charging data

Diagnosing health in composite battery electrodes with explainable deep learning and partial charging data

Lithium-ion batteries with composite anodes of graphite and silicon are increasingly being used. However, their degradation pathways are complicated due to the blended nature of the electrodes, with graphite and silicon degrading at different rates. Here, we develop a deep learning health diagnostic...

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Bibliographic Details
Main Authors: Haijun Ruan, Niall Kirkaldy, Gregory J. Offer, Billy Wu
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Energy and AI
Subjects:
Lithium-ion battery
Composite electrode
Silicon
Degradation diagnostic
Explainable deep learning
Partial charging
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824000181

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http://www.sciencedirect.com/science/article/pii/S2666546824000181

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