Thesis
Mathematical modelling of lead-acid batteries
- Abstract:
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Electrochemical and equivalent-circuit modelling are the two most popular approaches to battery simulation, but the former is computationally expensive and the latter provides limited physical insight. A theoretical middle ground would be useful to support battery management, online diagnostics, and cell design.
In this thesis, we present a porous-electrode model of a lead-acid battery, which includes an extension of concentrated-solution theory that accounts for excluded-volume effects, local pressure variation, and a detailed microscopic water balance.
Asymptotic analysis of the one-dimensional model in the limit of small discharge rate produces three reduced-order models, which relate the electrical behaviour to microscopic material properties, but simulate discharge at speeds approaching an equivalent circuit. A lumped-parameter model, which neglects spatial property variations, proves accurate for small discharge rates (below 0.1C), while a spatially resolved higher-order solution retains accuracy at higher discharge rates (up to 5C). The reduced-order models provide improved insight into the battery's behaviour. The models are fit to experimental data, showing good agreement.
We then consider the three-dimensional model and exploit the limit of small aspect ratio to decompose the through-cell and transverse dimensions. Further asymptotic analyses in the limit of high conductivity and/or small discharge rate give new simplified models that capture transverse non-uniformities at reduced computational cost. In the simplest case, the current collectors act as series resistors.
In order to explore the behaviour of a lead-acid battery during recharge, we return to a one-dimensional model and add an oxygen reaction to the model. We find that the oxygen recombination must be diffusion limited in the negative electrode, leading to non-monotonic voltage increase during constant-current recharge. Reduced-order models in the limit of slow recharge provide good approximations to the full charging model.
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Authors
Contributors
- Department:
- Mathematical Institute
- Role:
- Supervisor
- Department:
- Mathematical Institute
- Role:
- Supervisor
- Department:
- Department of Engineering Science
- Role:
- Supervisor
- Department:
- Department of Engineering Science
- Role:
- Supervisor
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
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English
- Keywords:
- Subjects:
- UUID:
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uuid:db582870-4473-411e-8a16-542a8bb0eeca
- Deposit date:
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2020-02-10
Terms of use
- Copyright holder:
- Sulzer, V
- Copyright date:
- 2019
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