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

Secondary batteries

Methodological aspects

Författare

Alejandro A. Franco

Institut Universitaire de France

Université de Picardie Jules Verne

Centre national de la recherche scientifique (CNRS)

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

Kemijski Inštitut

Centre national de la recherche scientifique (CNRS)

Piotr Jankowski

Politechnika Warszawska

Chalmers, Fysik, Materialfysik

Centre national de la recherche scientifique (CNRS)

Patrik Johansson

Centre national de la recherche scientifique (CNRS)

Chalmers, Fysik, Materialfysik

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

2020-08-28