Hybrid and electric powertrain research
Purpose-designed for flexibility, continuous investment in the facility enables the evaluation of control and energy systems in a multitude of applications. Simulation underpins all capability with a unified model development approach for reduced test, control and engineering development.
Research areas include
- Model based and adaptive control
- Nonlinear dynamic and identification of powertrain systems
- Dynamic non-linear powertrain system numerical optimisation
- Adaptive battery management and condition monitoring
- Hybrid system control and optimisation