Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?
Year: 2019
Type: review
Abstract: 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.
Source: Chemical Reviews
Institutions: Centre National de la Recherche Scientifique, Institut Universitaire de France, Réseau sur le Stockage Electrochimique de l'énergie, Alistore, Laboratoire de Réactivité et Chimie des Solides, Université de Picardie Jules Verne, Uppsala University, National Institute of Chemistry, Warsaw University of Technology, Chalmers University of Technology
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,000
Funders: Stanford University, European Commission, Agence Nationale de la Recherche, Chalmers Tekniska Högskola, Politechnika Warszawska, Energimyndigheten, Centre National de la Recherche Scientifique, Institut Universitaire de France, Universidad Nacional del Sur, Uppsala Universitet, Univerza v Ljubljani, Karl-Franzens-Universität Graz, Horizon 2020 Framework Programme, Sixth Framework Programme, H2020 European Research Council
OpenAlex ID: W2922050530