Oxford Mathematical Modelling Battery Group

Exploiting mathematics to improve battery design and management

To improve battery performance it is important to understand the underlying physical mechanisms occurring in the battery and encase them in mathematical models of the appropriate complexity and fidelity to allow design and control systems to operate effectively. The group develops PDE based models, studies these in various asymptotic limits and determines efficient computational methods of solution. Current areas of interest include effective ways of accounting for thermal effects, heterogeneity of particles, mechanical deformation, and growth of SEI layers.

Congratulations to Scott, who had his viva on November 13.

Version 0.2.4 of PyBaMM released!

Congratulations to Valentin, who had his doctoral viva on September 6.

Version 0.2.3 of PyBaMM released!

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