Bayesian parameter estimation applied to the Li-ion battery single particle model with electrolyte dynamics

This paper presents a Bayesian parameter estimation approach and identifiability analysis for a lithium-ion battery model, to determine the uniqueness, evaluate the sensitivity and quantify the uncertainty of a subset of the model parameters. The analysis was based on the single particle model with...

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Detalhes bibliográficos
Principais autores: Aitio, A, Marquis, SG, Ascencio, P, Howey, D
Formato: Journal article
Idioma:English
Publicado em: Elsevier 2021