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    Computational modelling of reactive processes in lithium-metal batteries

    Arguello ME 2022 Public.pdf (15.56Mb)
    Access Status
    Open access
    Authors
    Arguello, Marcos Exequiel
    Date
    2022
    Supervisor
    Ranjeet Utikar
    Victor Calo
    Monica Gumulya
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    WA School of Mines, Mineral, Energy and Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/90341
    Collection
    • Curtin Theses
    Abstract

    This Thesis presents a computational phase-field model to describe the electrodeposition process that forms dendrites within lithium-metal batteries. We describe the evolution of a phase field, the lithium-ion concentration, and electric potential during a battery charge cycle. We simulate three-dimensional spike-like lithium structures in agreement with experimentally-observed dendrite growth rates and morphologies reported in the literature. This work constitutes a relevant step towards physical-based, quantitative models needed to achieve the commercial realisation of lithium-metal batteries.

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