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Microstructurally resolved modeling of all solid-state batteries: Latest progresses, opportunities, and challenges

Authors :
Mohammed Alabdali
Franco M. Zanotto
Virginie Viallet
Vincent Seznec
Alejandro A. Franco
Laboratoire réactivité et chimie des solides - UMR CNRS 7314 (LRCS)
Université de Picardie Jules Verne (UPJV)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)
Réseau sur le stockage électrochimique de l'énergie (RS2E)
Aix Marseille Université (AMU)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Collège de France (CdF (institution))-Université de Picardie Jules Verne (UPJV)-Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université de Toulouse (UT)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Nantes Université (Nantes Univ)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)
Université de Montpellier (UM)
Source :
Current Opinion in Electrochemistry, Current Opinion in Electrochemistry, 2022, 36, pp.101127. ⟨10.1016/j.coelec.2022.101127⟩
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

International audience; All solid-state batteries are promising high-energy-density storage devices. To optimize their performance without costly trial and error approaches, microstructure-resolved continuum models have been proposed to understand the influence of the electrode architecture on their capabilities. We discuss the recent advances in the microstructure-resolved modeling of solid-state batteries. While not all of the experimentally observed phenomena can be accurately represented, these models generally agree that the low ionic conductivity of the solid electrolyte is a limiting factor. We conclude by highlighting the need for microstructure-resolved models of degradation mechanisms, manufacturing effects and artificial intelligence approaches speeding up the optimization of interfaces in all solid-state-battery electrodes.

Details

Language :
English
ISSN :
24519103
Database :
OpenAIRE
Journal :
Current Opinion in Electrochemistry, Current Opinion in Electrochemistry, 2022, 36, pp.101127. ⟨10.1016/j.coelec.2022.101127⟩
Accession number :
edsair.doi.dedup.....c1223c063b6e2da1dd44a5e5e08f9992
Full Text :
https://doi.org/10.1016/j.coelec.2022.101127⟩