Faculty and research
The division of Vehicle Engineering and Solid Mechanics is responsible for the master’s programme in Vehicle Engineering and most of the courses in the programme.
Road Vehicle research group
At the division the Road Vehicle research group is focusing their research on studies on vehicle conceptual design and vehicle dynamic analysis including both interaction with the environment, human interaction and system-of-systems. In summary:
- Innovative vehicle concepts: e.g. greener, smarter and safer over-actuated vehicles.
- Driver-vehicle interaction: subjective-objective correlation, driver modelling, driving simulators, remote driving etc.
- Vehicle dynamics control: optimizing energy, safety, comfort etc. depending on driving conditions and transportation task.
- Vehicle system and environment interaction: tyre-road modelling, energy losses, wear, active suspension, crosswind, optimality in design configurations, etc.
Conceptual Vehicle Design research group
The Conceptual Vehicle Design research group focus on how to translate societal needs for transport functionality into a plan for sustainable vehicle solutions. Including development of methods to link effects across different system scales so that vehicles may be optimal from a wider transport perspective. Multifunctional design also involves many questions around how to model different functions with an appropriate non-biased fidelity and how to include secondary knock-on effects when evaluating the effect of change on a system.
Rail Vehicle research group
The Rail Vehicle research group is focusing on the dynamic interaction between rail vehicles (train) and track. Modelling and simulation play a major role to predict system behaviour, optimise system parameters, predict maintenance needs, total cost of operation as well as improving system performance like ride comfort, running stability and vehicle-track interaction forces. In summary:
- Active suspensions.
- Mechanics of the wheel rail contact, new contact theories and implementing theories for wear and high cycle fatigue in the models.
- Dynamic interaction between rail vehicle pantographs and catenary.
- Condition-based maintenance based on predictions with digital twins and/or machine learning.
- How to make train design and operation even more energy and power efficient.
In the programme the students have access to a well-equipped laboratory with an instrumented test vehicle, car lift, driving simulator and a lecture room with computers where most of the education is performed.