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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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Abstract
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
2023
URI
https://hdl.handle.net/1721.1/157521
Department
Massachusetts Institute of Technology. Department of Chemical Engineering; Massachusetts Institute of Technology. Department of Mathematics
Journal
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

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