- Lithium-ion batteries
- Numerical methods
- High-performance computing
- Research software engineering
- Multiscale simulation
My current research at the University of Southampton is highly interdisciplinary and involves a combination of approaches from computational mathematics, numerical methods, computer science, physics, and chemistry. Specifically, I research physical and chemical mechanisms in battery cells and work on the development and implementation of high-performance code to solve physics-based mathematical models of lithium-ion batteries.
Our goal, which we have largely achieved, has been to create a robust and very fast computational framework which can be used to understand and optimise the physical, geometrical, and chemical characteristics of batteries. A portion of the working prototype of the code is available online at www.dandeliion.com.
A key property of our code (for which I am the main developer) that differentiates it from other similar software, is that the time taken to solve a problem scales linearly with increases in the numbers of unknowns up to extremely large systems. It is thus the only code that can solve a properly refined physics-based thermal-electrochemical model of multi-layered pouch and cylindrical cells, which, because of the multiscale nature of the model, leads to spatially pseudo-5-dimensional partial differential equations. The unique ability of DandeLiion to accurately solve these (hard) thermal-electrochemical problems allows manufacturers to prototype real cells in their working environment, i.e., this digital technology provides a virtual ‘digital twin’ of a real battery which can be used to significantly reduce prototyping costs.