Climate driven global efforts has led to the exponential growth of renewable technologies which has spurred further research into energy storage technologies such as batteries, supercapacitors, and fuel cells alike. Of particular interest are hybrid technologies such as Lithium-ion capacitors (LiCs) which bridge the technological gaps between batteries and supercapacitors, paving the way to a best of both world solution. Within LiC research, predictive physics models based on constituent material properties are lacking.
This project attempts to develop a physical predictive model for Lithium-ion capacitors using MATLAB’s Simulink block programming and Simscape physical modelling environments.
- Matlab and Simulink programming
- data analysis of commercial and experimental Lithium-ion capacitors
- data interpretation and improvement of the modelling software.
The project will provide a full understanding of the key parameters that determine the current limitations of the Li-ion capacitors, ad will help to improve future generation of this storage device.
Skills and experience
Project suitable for students in Physics and Mechanical/Electronic Engineering.
Good programming skills in Matlab and Simulink.
You may be eligible to apply for a research scholarship.
Contact the supervisor for more information.