Electronification of the main transport sectors (passenger cars, trains, ships, planes) is one of the key attempts to reach zero emission target and reduce fossil fuel consumption. However, it requires design of new high-speed compact motor structures, and new development/simulation methods, which are covered by Centre of Excellence.

Recent developments in power electronics and battery systems allowed to increase operating frequency, continuous and short time power range of electrical machines applied as a main propulsion motor in different transport sectors. By developing new analysis/simulation methods with accounting for multi-physics effects (e.g. rotor dynamics) it should be possible to include high-frequency phenomena in electric machine design. One of the approaches to proceed with the combining multi-physical effects is to develop a reduced-order modelling framework.


Project funding
Academy of Finland

Project period
1.1.2022 – 31.12.2026

Project goals

The initial project target is the intelligent model order reduction, which should reduce computational resources for simulation of different electromagnetic effects (such as eddy-currents, capacitive coupling between conductors and high-frequency phenomena) and combining them with mechanical simulation.

For a reliable machine design and stable control development a self-learning system level modeling environment would be created, where new adaptive control solutions (accounting possible rotor vibrations) and preemptive fault diagnosis methods would be tested.

During the project new design and operating limits of the high-speed electrical machine will be discovered.

Contact us

Other staff

Jussi Sopanen (Charles Nutakor) - Mechanical simulation
Tuomo Lindh (Niko Nevaranta) - Control development (including active magnetic bearings)
Pasi Peltoniemi (Aleksi Mattsson) - Power electronics simulation
Janne Nerg - New modeling tool for electromagnetic and multi-physics simulations (Elmer based on CSC resources)



  • Aalto University/Department of Electrical Engineering and Automation
  • Tampere University
  • VTT Technical Research Centre of Finland Ltd
  • CSC - It Center for Science Ltd
  • Aalto University/Department of Mechanical Engineering