Especially with the current transition to electromobility, overall system efficiency plays a crucial role. On the one hand, additional demand for electrical energy arises on the generation side, and on the other hand, the driving range of electric vehicles is an important criterion.
With a well-equipped machine laboratory and the use of modern commercial and in-house computational tools, it is possible to study and improve the overall efficiency of these machines. Modern methods such as digitalization and machine learning are also applied in this process.
Our Focus Areas
Calculation
- Sizing of electrical machines
- Electromagnetic calculations
- Losses and heating
Optimization
- Design optimization (overall and partial optimization)
- Machine learning
Simulations
- Parameter identification
- Behavior under disturbances and fault conditions
- Start-up and braking of rotating electrical machines
Special Applications
- Doubly-fed induction machines
- Single-phase synchronous machines
