Alejandro A Franco1,2,3,4, Alexis Rucci1,2, Daniel Brandell3,5, Christine Frayret1,2,3, Miran Gaberscek3,6, Piotr Jankowski3,7,8, Patrik Johansson3,7. 1. Laboratoire de Réactivité et Chimie des Solides (LRCS), CNRS UMR 7314 , Université de Picardie Jules Verne , Hub de l'Energie, 15 Rue Baudelocque , 80039 Amiens Cedex 1 , France. 2. Réseau sur le Stockage Electrochimique de l'Energie (RS2E) , CNRS FR 3459, Hub de l'Energie, 15 Rue Baudelocque , 80039 Amiens Cedex 1 , France. 3. ALISTORE-European Research Institute , CNRS FR 3104, Hub de l'Energie, 15 Rue Baudelocque , 80039 Amiens Cedex 1 , France. 4. Institut Universitaire de France , 103 boulevard Saint Michel , 75005 Paris , France. 5. Department of Chemistry - Ångström Laboratory , Box 538, SE-75121 Uppsala , Sweden. 6. Department for Materials Chemistry , National Institute of Chemistry , Hajdrihova 19 , SI-1000 Ljubljana , Slovenia. 7. Department of Physics , Chalmers University of Technology , SE-412 96 Göteborg , Sweden. 8. Faculty of Chemistry , Warsaw University of Technology , Noakowskiego 3 , 00-664 Warsaw , Poland.
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.
This rclass="Chemical">eview addresses class="Chemical">pan class="Chemical">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.
Authors: Oleg Borodin; G D Smith; Olt Geiculescu; Stephen E Creager; Boutros Hallac; Darryl DesMarteau Journal: J Phys Chem B Date: 2006-11-30 Impact factor: 2.991
Authors: Alyson Abraham; Lisa M Housel; Christianna N Lininger; David C Bock; Jeffrey Jou; Feng Wang; Alan C West; Amy C Marschilok; Kenneth J Takeuchi; Esther S Takeuchi Journal: ACS Cent Sci Date: 2016-05-31 Impact factor: 14.553
Authors: Aashutosh Mistry; Alejandro A Franco; Samuel J Cooper; Scott A Roberts; Venkatasubramanian Viswanathan Journal: ACS Energy Lett Date: 2021-03-23 Impact factor: 23.101