The research and development activities of the e-Mobility Centre focus on the modelling, simulation and implementation of electric drive systems for control and fault diagnosis, as well as on predictive maintenance based on artificial intelligence. Power electronics and embedded control technology and their HIL/SIL simulation and validation test environment are given a high priority in the activities of the centre. The centre addresses the high degree of non-linearities inherent in these systems through state-of-the-art control, processing and artificial intelligence approaches. Research covers the communication and hierarchical control aspects of the drive system in line with the higher control functions of fully autonomous vehicles. Research and development activities are supported by a high-performance electric brake bench environment for testing electric drive systems.
Scientific head of the Center: Dr. Dénes Fodor
Contact – e-mail address: fodor.denes@ga.sze.hu
We perform testing of electric motors and drive systems in several brake test environments with different power ranges (10kW, 50kW, 400kW). We are able to perform static and dynamic, functional and diagnostic measurements of electric motors according to standards. Our high performance electric brake bench is capable of 22000 rpm maximum speed and 540 Nm maximum torque.
Diagnostic testing of electric motors and drives using advanced signal processing, modelling and machine learning techniques.
Monitoring of battery condition using stochastic estimation techniques and application of artificial intelligence based lifetime estimation techniques.
Development and testing of advanced drive control and diagnostic algorithms in HIL/SIL environments. Co-simulation methodology and simulation ecosystem.
Impact of the applied pulse width modulation strategy on output signal quality of frequency converters. Condition monitoring and diagnostic tests of voltage source inverter semiconductors (SiC, GaN…) . On-board diagnostics and predictive maintenance.
Finite element simulation of the magnetic and electromagnetic materials and devices. Measurement and modeling of the electrodynamic properties of ferromagnetic materials.
