Modelling of electrochemical systems

Optimisation of metal-air batteries

This work involves a complementary experimental and mathematical modelling approach to provide decision support capabilities for the understanding and subsequent optimisation of lithium-air electrodes for secondary batteries.

Modelling ion transport through nanopores

The study of transport of ionic species through a nanopore is important in determining the underlying behavior of electrolytes on the nanoscale; the understanding of which has important applications in the development of biomolecular sensors and nanofluidic diodes. In this project we develop a consistent framework that couples the Poisson-Nernst-Planck equations with Butler-Volmer kinetics at the electrode/electrolyte interface to model ion transport through a nanopore. We are able to perform quantitative comparisons between simulated current-voltage curves and those obtained experimentally.

Modelling of Lithium Metal Phosphate Batteries

This project is looking at the development and numerical solution of mutliscale, high-dimensional, Cahn-Hilliard Reaction models to predict the phase change behaviour within secondary, lithium-ion batteries. Such model systems are notoriously difficult to solve accurately and novel numerical approaches have been developed to achieve this.

Multicomponent charge transport

This work investigates the mathematical modelling of charge transport in electrolyte solutions, within the nanoporous structures of electrochemical devices. We compare two approaches found in the literature, by developing transport models based on the Nernst-Planck and Maxwell-Stefan equations.

The development of the Nernst-Planck equations relies on the assumption that the solution is infinitely dilute. However, this is typically not the case for the electrolyte solutions found within electrochemical devices. Furthermore, ionic concentrations much higher than those of the bulk concentrations can be obtained near the electrode/electrolyte interfaces due to the development of an electric double layer. Hence, multicomponent interactions which are neglected by the Nernst-Planck equations may become important. The Maxwell-Stefan equations account for these multicomponent interactions, and thus they should provide a more accurate representation of transport in electrolyte solutions. To allow for the effects of the electric double layer in both the Nernst-Planck and Maxwell-Stefan equations, we do not assume local electroneutrality in the solution. Instead, we model the electrostatic potential as a continuously varying function, by way of Poisson’s equation. Importantly, we have shown that for a ternary electrolyte solution at high interfacial concentrations, the Maxwell-Stefan equations predict behaviour that is not recovered from the Nernst-Planck equations.


Chief Investigators

Publications