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
Institut Universitaire de France
Université de Picardie Jules Verne
Centre national de la recherche scientifique (CNRS)
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
Centre national de la recherche scientifique (CNRS)
Université de Picardie Jules Verne
Miran Gaberscek
Kemijski Inštitut
Centre national de la recherche scientifique (CNRS)
Piotr Jankowski
Centre national de la recherche scientifique (CNRS)
Chalmers, Fysik, Materialfysik
Politechnika Warszawska
Patrik Johansson
Chalmers, Fysik, Materialfysik
Centre national de la recherche scientifique (CNRS)
Chemical Reviews
0009-2665 (ISSN) 1520-6890 (eISSN)
Vol. 119 7 4569-4627Nästa generation batterier för hybrid- och elfordon
Energimyndigheten (37671-1), 2013-12-01 -- 2017-12-31.
Ämneskategorier
Annan data- och informationsvetenskap
Annan fysik
Bioinformatik (beräkningsbiologi)
Systemvetenskap
Styrkeområden
Transport
Energi
Materialvetenskap
DOI
10.1021/acs.chemrev.8b00239