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.

Methodological aspects

Multi-scale Modeling

Secondary batteries

Modeling strategy

Författare

Alejandro A. Franco

Centre national de la recherche scientifique (CNRS)

Institut Universitaire de France

Université de Picardie Jules Verne

Alexis Rucci

Université de Picardie Jules Verne

Centre national de la recherche scientifique (CNRS)

D. Brandell

Uppsala universitet

Centre national de la recherche scientifique (CNRS)

Christine Frayret

Université de Picardie Jules Verne

Centre national de la recherche scientifique (CNRS)

Miran Gaberscek

National Institute of Chemistry Ljubljana

Centre national de la recherche scientifique (CNRS)

Piotr Jankowski

Centre national de la recherche scientifique (CNRS)

Politechnika Warszawska

Chalmers, Fysik, Kondenserade materiens fysik

Patrik Johansson

Chalmers, Fysik, Kondenserade materiens fysik

Centre national de la recherche scientifique (CNRS)

Chemical Reviews

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

Vol. 119 7 4569-4627

Nästa generation batterier för hybrid- och elfordon

Energimyndigheten, 2013-12-01 -- 2017-12-31.

Ämneskategorier

Annan data- och informationsvetenskap

Bioinformatik (beräkningsbiologi)

Systemvetenskap

Styrkeområden

Transport

Energi

Materialvetenskap

DOI

10.1021/acs.chemrev.8b00239

Mer information

Senast uppdaterat

2019-08-19