Computational modelling of reactive processes in lithium-metal batteries
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-dim...
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| Format: | Thesis |
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Curtin University
2022
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| Online Access: | http://hdl.handle.net/20.500.11937/90341 |
| _version_ | 1848765371333476352 |
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| author | Arguello, Marcos Exequiel |
| author_facet | Arguello, Marcos Exequiel |
| author_sort | Arguello, Marcos Exequiel |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:34:11Z |
| format | Thesis |
| id | curtin-20.500.11937-90341 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:34:11Z |
| publishDate | 2022 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-903412023-02-06T01:48:51Z Computational modelling of reactive processes in lithium-metal batteries Arguello, Marcos Exequiel 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. 2022 Thesis http://hdl.handle.net/20.500.11937/90341 Curtin University fulltext |
| spellingShingle | Arguello, Marcos Exequiel Computational modelling of reactive processes in lithium-metal batteries |
| title | Computational modelling of reactive processes in lithium-metal batteries |
| title_full | Computational modelling of reactive processes in lithium-metal batteries |
| title_fullStr | Computational modelling of reactive processes in lithium-metal batteries |
| title_full_unstemmed | Computational modelling of reactive processes in lithium-metal batteries |
| title_short | Computational modelling of reactive processes in lithium-metal batteries |
| title_sort | computational modelling of reactive processes in lithium-metal batteries |
| url | http://hdl.handle.net/20.500.11937/90341 |