Cell-level focuses on developing modelling methods for current and next-generation lithium-ion batteries. These models vary from data-driven representations of electrical and thermal lumped parameters to physics-based continuum order electrochemical models. Additional methodologies in reduced-order models capable of embedded deployment are actively investigated. This research aims to improve model predictions with a specialty in high-performance code development. To view these models, please visit the data and code page.


Expanding the cell-level models into multi-module and full pack representations is an ongoing area of interest. This expansion requires including statistical variations in the cell models, advanced thermal representations, and electrical component modelling. At this level, inclusion of computational fluid dynamics becomes beneficial and this group investigates active methods for high-fidelity simulations. Integration of these interacting systems requires understanding key time-scale effects and advanced numerical solutions.

Applied Control

Next-generation lithium-ion batteries will require advanced control structures to extend cell lifetime while achieving optimal pack performance. This research utilises the real-time capable models generated in the group to provide advanced electrochemical information to the battery management system. This additional information, coupled with optimal control structures such as model predictive control (MPC) and linear quadratic regulator (LQR) provide valuable control of degradation mechanisms, heat generation, and non-measurable states. Advanced state estimation is also investigated to improve current methods in high-performance applications.

Design and Testing

This group focuses on advance battery pack design for high-performance, high abuse applications. Specialties include composite design and manufacturing, optimal pack architecture, pressurised segment design, and minimum contact resistance methods. In addition to this work, this group develops unit testing capabilities and investigates advanced methods to validate pack components. These investigations include electrical, dynamic vibration, and failure testing.

Prospective Students

Students interested in dissertation projects or becoming an active member of the group should contact with a statement of interest. Ongoing projects include:

  • Formula Student Battery Testing Consortium
  • Development of Stressed Battery Modules
  • Optimal Pack Design for Formula Student Applications
  • Experimental Testing Methods for Lithium-Ion Pouch Cell Stiffness
  • Experimental Methods for Disassembly of Lithium-Ion Cells and SEM Investigations
  • Investigations in Minimum Contact Resistance for Minimal-Mass, High-Performance Battery Packs