Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?
Journal article, 2019

This review addresses concepts, approaches, tools, and outcomes of multiscale modeling used to design and optimize the current and next generation rechargeable battery cells. Different kinds of multiscale models are discussed and demystified with a particular emphasis on methodological aspects. The outcome is compared both to results of other modeling strategies as well as to the vast pool of experimental data available. Finally, the main challenges remaining and future developments are discussed.

Modeling strategy

Secondary batteries

Methodological aspects

Multi-scale Modeling

Author

Alejandro A. Franco

Institut Universitaire de France

Centre national de la recherche scientifique (CNRS)

University of Picardie Jules Verne

Alexis Rucci

University of Picardie Jules Verne

Centre national de la recherche scientifique (CNRS)

D. Brandell

Uppsala University

Centre national de la recherche scientifique (CNRS)

Christine Frayret

Centre national de la recherche scientifique (CNRS)

University of Picardie Jules Verne

Miran Gaberscek

National Institute of Chemistry

Centre national de la recherche scientifique (CNRS)

Piotr Jankowski

Chalmers, Physics, Materials Physics

Centre national de la recherche scientifique (CNRS)

Warsaw University of Technology

Patrik Johansson

Centre national de la recherche scientifique (CNRS)

Chalmers, Physics, Materials Physics

Chemical Reviews

0009-2665 (ISSN) 1520-6890 (eISSN)

Vol. 119 7 4569-4627

Next generation batteries for hybrid and electric vehicles

Swedish Energy Agency (37671-1), 2013-12-01 -- 2017-12-31.

Subject Categories

Other Computer and Information Science

Other Physics Topics

Bioinformatics (Computational Biology)

Information Science

Areas of Advance

Transport

Energy

Materials Science

DOI

10.1021/acs.chemrev.8b00239

More information

Latest update

4/6/2022 9