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
Secondary batteries
Multi-scale Modeling
Modeling strategy
Författare
Alejandro A. Franco
Institut Universitaire de France
Centre national de la recherche scientifique (CNRS)
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
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
Chalmers, Fysik, Materialfysik
Politechnika Warszawska
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 4569-4627Nästa generation batterier för hybrid- och elfordon
Energimyndigheten (37671-1), 2013-12-01 -- 2017-12-31.
Ämneskategorier
Annan data- och informationsvetenskap
Materialkemi
Annan fysik
Bioinformatik (beräkningsbiologi)
Systemvetenskap
Styrkeområden
Transport
Energi
Materialvetenskap
DOI
10.1021/acs.chemrev.8b00239