Lithium-ion battery digitalization: Combining physics-based models and machine learning

Digitalization of lithium-ion batteries can significantly advance the performance improvement of lithium-ion batteries by enabling smarter controlling strategies during operation and reducing risk and expenses in the design and development phase. Accurate physics-based models play a crucial role in...

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Bibliographic Details
Published in:	Renewable & sustainable energy reviews Vol. 200; p. 114577
Main Authors:	Amiri, Mahshid N., Håkansson, Anne, Burheim, Odne S., Lamb, Jacob J.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2024
Subjects:	Battery control Battery design Computational cost Digital twin Digitalization Electrochemical models Hybrid models Lithium-ion battery Machine learning Physics-based models Lithium-ion battery Digitalization Digital twin Battery design Hybrid models Electrochemical models Machine learning Battery control Physics-based models Computational cost
ISSN:	1364-0321
Online Access:	Get full text
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