Computational modelling of reactive processes in lithium-metal batteries
dc.contributor.author | Arguello, Marcos Exequiel | |
dc.contributor.supervisor | Ranjeet Utikar | en_US |
dc.contributor.supervisor | Victor Calo | en_US |
dc.contributor.supervisor | Monica Gumulya | en_US |
dc.date.accessioned | 2023-02-06T01:48:51Z | |
dc.date.available | 2023-02-06T01:48:51Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/90341 | |
dc.description.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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Computational modelling of reactive processes in lithium-metal batteries | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | WA School of Mines, Mineral, Energy and Chemical Engineering | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |
curtin.contributor.orcid | Arguello, Marcos Exequiel [0000-0002-7840-967X] | en_US |