Motor Behaviour Prediction in Inverter Operation (A06*)

• Subject Area: Electrical Energy Systems, Power Management, Power Electronics, Electrical Machines and Drives
• Term: since 2026
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 492661287

To optimise today’s electrical machines, an accurate and time efficient prediction of the performance, efficiency, thermal and noise behaviour in inverter operation is needed. This project will deliver a methodology to predict the high frequency currents and subsequent effects when operated with pulsed voltage signals. Starting from a FE-based coupled motor-inverter simulation with time-parallel solver, advanced approaches, which are the harmonic balance method, FE-based co-simulation with optimised time-stepping and a reduced order model, will be examined in detail, of which the most promising one will be further implemented. To validate the simulation methods, holistic measurements including performance, efficiency, thermal behaviour and NVH will be conducted at the TUDa Traction motor of phase 1.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 361: Computational Electric Machine Laboratory: Thermal Modelling, Transient Analysis, Geometry Handling and Robust Design
• Applicant Institution: Technische Universität Darmstadt
• Project Heads: Professor Dr.-Ing. Yves Burkhardt; Professor Dr. Sebastian Schöps