PGD based meta modelling of a lithium-ion battery for real time prediction

PGD based meta modelling of a lithium-ion battery for real time prediction

Despite the existence of computationally efficient tools, the effort for parametric investigations is currently high in industry. In this paper, within the context of Li-Ion batteries, an efficient meta-modelling approach based on the Proper Generalized Decomposition (PGD) is considered. From a suit...

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Bibliographic Details
Main Authors: Alexander Schmid, Angelo Pasquale, Christian Ellersdorfer, Victor Champaney, Marco Raffler, Simon Guévelou, Stephan Kizio, Mustapha Ziane, Florian Feist, Francisco Chinesta
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Materials
Subjects:
proper generalized decomposition
parametric models
nonlinear regression
lithium-ion battery
real time simulation
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2023.1245347/full

Internet

https://www.frontiersin.org/articles/10.3389/fmats.2023.1245347/full

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