The research covers several aspects of optimization and control for automotive systems.

In particular, the group performs research in the area of vehicle energy management, where distributed optimization and (model predictive) control are used to control the energy flows inside a vehicle with the objective to minimize the overall energy consumption. This leads to a higher fuel economy of a conventional vehicle or a larger driving range of an electric vehicle. Furthermore, the group covers several aspects of modelling and control of batteries, such as optimal charging, cell balancing and state estimation.