A MATLAB-based, electrochemical model which describes the ionic transport of species in sodium-ion batteries.


Understanding internal battery dynamics to build better batteries requires fast and reliable electrochemical-based simulation models. Electrode design, for specific power and energy applications, cannot rely on experimental trial and error because of material costs and time.
Traditionally, such models are based on the porous electrode theory, which was popularised by the seminal works of Newman and his collaborators. In this work, several improvements to the porous electrode theory are introduced while the underlying theory is further unravelled. The dilute solution theory is used to resolve the concentration, potential and current distribution in the electrolyte phase while particle phase concentrations are calculated based on the backward Euler finite difference method. Using optimised solution schemes to solve the coupled partial differential
equations, we are able to effi ciently resolve the multi-physics and multi-scale phenomena involved in sodium-ion battery simulations.

K. Chayambuka, G. Mulder, D. L. Danilov, and P. H. L. Notten, A modifi ed pseudo-steady-state analytical expression
for battery modeling, Solid State Communications (2019).
K. Chayambuka, G. Mulder, D. L. Danilov, and P. H. L. Notten, Sodium-ion battery materials and electrochemical
properties reviewed, Advanced Energy Materials (2018)

Competences gained at VITO
  • Battery modelling skills using MATLAB and COMSOL Multiphysics, Experimental skills in battery testing
  • Networking within the research community
My added value

I would leverage electrochemical modelling skills to improve battery design.

I would like a research oriented career which aims to bring new and emerging technologies to the market.

Kudakwashe Chayambuka