Long-term degradation of lithium-ion batteries
In this thesis, we develop efficient mathematical models of lithium-ion batteries and the key degradation mechanism, solid–electrolyte interphase (SEI) growth. By doing this, we provide a modular mathematical framework for lithium-ion battery modelling from which an appropriate fidelity model can be...
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| Format: | Thesis |
| Language: | English |
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2020
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| Summary: | In this thesis, we develop efficient mathematical models of lithium-ion batteries and the key degradation mechanism, solid–electrolyte interphase (SEI) growth. By doing this, we provide a modular mathematical framework for lithium-ion battery modelling from which an appropriate fidelity model can be selected and extended. Our approach is to develop detailed physics-based models motivated by standard electrochemical modelling approaches and then employ asymptotic methods to systematically simplify these models. An important output of this work is an open-source battery modelling software called PyBaMM (Python Battery Mathematical Modelling) that allows other researchers to easily use and interact with the models we develop. |
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