%0 Journal Article %T Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality? %+ Laboratoire réactivité et chimie des solides - UMR CNRS 7314 (LRCS) %+ Réseau sur le stockage électrochimique de l'énergie (RS2E) %+ Advanced Lithium Energy Storage Systems - ALISTORE-ERI (ALISTORE-ERI) %+ Department of Materials Chemistry - The Angstrom Laboratory %+ Laboratory for Materials Electrochemistry %+ Warsaw University of Technology [Warsaw] %+ Chalmers University of Technology [Göteborg] %A Franco, Alejandro A. %A Rucci, Alexis %A Brandell, Daniel %A Frayret, Christine %A Gaberscek, Miran %A Jankowski, Piotr %A Johansson, Patrik %< avec comité de lecture %@ 0009-2665 %J Chemical Reviews %I American Chemical Society %V 119 %N 7 %P 4569-4627 %8 2019 %D 2019 %R 10.1021/acs.chemrev.8b00239 %Z Chemical Sciences/Material chemistryJournal articles %X 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. %G English %L hal-03611041 %U https://u-picardie.hal.science/hal-03611041 %~ UNIV-NANTES %~ ENSCP %~ UNIV-TLSE3 %~ UGA %~ CNRS %~ UNIV-AMU %~ CDF %~ UNIV-PICARDIE %~ UNIV-PAU %~ ENSC-MONTPELLIER %~ ENSC-PARIS %~ INPG %~ PARISTECH %~ RS2E %~ INC-CNRS %~ PSL %~ UNIV-MONTPELLIER %~ SITE-ALSACE %~ SORBONNE-UNIVERSITE %~ SORBONNE-UNIV %~ ENSCP-PSL %~ CDF-PSL %~ UGA-COMUE %~ SU-TI %~ UPPA-OA %~ U-PICARDIE %~ LRCS %~ ALISTORE-ERI %~ ALLIANCE-SU %~ TOULOUSE-INP %~ NANTES-UNIVERSITE %~ UNIV-NANTES-AV2022 %~ UNIV-UT3 %~ UT3-INP %~ UT3-TOULOUSEINP %~ UM-2015-2021 %~ UM-EPE