Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?
Artikel i vetenskaplig tidskrift, 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

Multi-scale Modeling

Methodological aspects

Secondary batteries

Författare

Alejandro A. Franco

Centre national de la recherche scientifique (CNRS)

Université de Picardie Jules Verne

Institut Universitaire de France

Alexis Rucci

Centre national de la recherche scientifique (CNRS)

Université de Picardie Jules Verne

D. Brandell

Centre national de la recherche scientifique (CNRS)

Uppsala universitet

Christine Frayret

Université de Picardie Jules Verne

Centre national de la recherche scientifique (CNRS)

Miran Gaberscek

Centre national de la recherche scientifique (CNRS)

National Institute of Chemistry Ljubljana

Piotr Jankowski

Politechnika Warszawska

Centre national de la recherche scientifique (CNRS)

Chalmers, Fysik, Kondenserade materiens fysik

Patrik Johansson

Centre national de la recherche scientifique (CNRS)

Chalmers, Fysik, Kondenserade materiens fysik

Chemical Reviews

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

Vol. 119 7 4569-4627

Ämneskategorier

Annan data- och informationsvetenskap

Bioinformatik (beräkningsbiologi)

Systemvetenskap

DOI

10.1021/acs.chemrev.8b00239

Mer information

Senast uppdaterat

2019-04-15