Thesis
Long-term degradation of lithium-ion batteries
- Abstract:
- 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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(Preview, Dissemination version, pdf, 6.6MB, Terms of use)
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Authors
Contributors
+ Please, C
- Role:
- Supervisor
- ORCID:
- 0000-0001-8917-8574
+ Chapman, S
- Role:
- Supervisor
+ Griffiths, I
- Role:
- Examiner
- ORCID:
- 0000-0001-6882-7977
+ Engineering and Physical Sciences Research Council Centre For Doctoral Training in Industrially Focused Mathematical Modelling
More from this funder
- Funder identifier:
- http://dx.doi.org/10.13039/501100000266
- Grant:
- EP/L015803/1)
- Programme:
- Engineering and Physical Sciences Research Council Centre For Doctoral Training in Industrially Focused Mathematical Modelling
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2022-04-02
- ARK identifier:
Terms of use
- Copyright holder:
- Marquis, SG
- Copyright date:
- 2020
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