Phase-Field Computational Framework for Addressing Challenges in Solid-State Batteries
Author(s)
Schwietert, Tammo K; Ombrini, Pierfrancesco; Ootes, Laura S; Oostrum, Leon; Azizi, Victor; Cogswell, Daniel; Zhu, Juner; Bazant, Martin Z; Wagemaker, Marnix; Vasileiadis, Alexandros; ... Show more Show less
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All-solid-state batteries are attracting increasing interest due to their higher promised energy densities without the use of flammable liquid electrolytes. Two main challenges for solid-state batteries are contact loss and interphase formation; these play a central role in the quality of the solid-electrolyte–electrode interfaces. Here, we present a modular phase-field modeling framework that is generally applicable to solid-state batteries with different electrodes and corresponding microstructures. The model is based on multiphase porous electrode theory, where Li-ion diffusion in solid electrolytes and electrode materials is integrated through a regular solution free energy functional. Modules for contact loss and diffusive interlayers, able to capture solid-solid and solid-liquid interfaces such as solid-electrolyte interphase formation and coatings, are also implemented, providing numerous modeling options for a comprehensive understanding of electrochemical systems. A thorough comparison between the solid-state and conventional liquid-electrolyte models for phase-separating electrodes reveals the optimal conditions and bottlenecks of solid-state diffusion and failure mechanisms. The predictions underline contact loss and interphase formation as the crucial mesoscopic morphological characteristics of solid-state systems, setting the basis for in-depth understanding and optimized performance in all-solid-state batteries.
Date issued
2023Department
Massachusetts Institute of Technology. Department of Chemical Engineering; Massachusetts Institute of Technology. Department of MathematicsJournal
PRX Energy
Publisher
American Physical Society
Citation
Schwietert, Tammo K, Ombrini, Pierfrancesco, Ootes, Laura S, Oostrum, Leon, Azizi, Victor et al. 2023. "Phase-Field Computational Framework for Addressing Challenges in Solid-State Batteries." PRX Energy, 2 (3).
Version: Final published version