The Group has significant theoretical knowledge and practical expertise creating new experimental methods to quantify battery performance both at a cell and system level (e.g. module, pack and final application). This includes the measurement of key electrical-thermal-mechanical properties and also the assessment of battery ageing and safety under aggressive test conditions.
The multidomain mathematical models we develop encompass different length scales from first-principle models created to understand the fundamental causality of heat generation, ageing and efficiency at an electrode and cell-level through to the design of simplified models that provide an accurate prediction of cell voltage, ageing and temperature but are easier to parametrise and computationally less demanding.
Our control system research leverages these mathematical models to design new, real-time, state estimation techniques for inclusion within the battery management system (BMS). Further, these models and algorithms are often integrated within the complete system-model of the end-use application (e.g. an electric vehicle powertrain or smart grid) to design the supervisory control and energy management algorithms which are a prerequisite for whole-system optimisation. Control system implementation is always validated using a combination of hardware-in-the-loop simulation testing and/or real-world applications.