Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing

The optimization of the electrode manufacturing process is important for upscaling the application of Lithium-Ion Batteries (LIBs) to cater for growing energy demand. LIB manufacturing is important to be optimized because it determines the practical performance of the cells when the latter are being...

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Veröffentlicht in:	Journal of power sources 2024-01, Vol.590, p.233674, Article 233674
Hauptverfasser:	Duquesnoy, Marc, Liu, Chaoyue, Kumar, Vishank, Ayerbe, Elixabete, Franco, Alejandro A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Battery cell manufacturing Bayesian optimization Electrode Engineering Sciences Machine learning Materials Numerical simulation
Online-Zugang:	Volltext
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