- Electrical characterisation from a cell to system
- Cell capacity measurements at different environmental conditions
- Cell Impedance Measurement, including Electrochemical Impedance Spectroscopy (EIS)
- Open Circuit Voltage (OCV) Measurement
- Electrochemical Voltage Spectroscopy (EVS)
- Thermal assessment of cells and complete battery systems
- Creation of new duty-cycles and test cases for real-world applications
- Aggressive Testing
- Destructive and non-destructive methods of cell ageing and degradation assessment
Content for page:
- Electrochemical-thermal modelling
- Performance models
- Ageing and degradation models
- Real-time battery models for state estimation
- System models at a module and pack level
- System models of the complete powertrain or energy system
- Design of novel experiments for model parameterisation and validation
- Telematics and big data mining
- Prediction and decision-making control schemes
- Supervisory control
- Energy management and optimisation
- Vehicle and powertrain control
- Hardware-in-the-loop simulation testing
- Battery management system (BMS) design and verification
- 2nd-life battery system control
- Control of power conversion devices (e.g. power converters for powertrain implementation and battery charging)
Characterisation, Modelling and Control
Underpinning our research is a recognition of the importance of linking novel experimental techniques, the design of new multidomain models of different energy storage technologies at different length scales and the application of these models to underpin the design of the energy management and battery management control functions within the context of different end-use applications.
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.
Our focus is on the challenges that crosscut the derivation, parameterisation, validation and application of new mathematical models for electrical and electrochemical components and devices.