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Fakultät für Elektrotechnik und Informationstechnik


Reliable Powerdown for Industrial Drives

The pioneering EU research project R-PODID started on the 1st of September 2023. This KDT JU co-funded project aims to develop an automated, cloudless, short-term fault-prediction for electric drives, power modules, and power devices, that can be integrated into power converters.



  • Methodology for fault-prediction model generation from sparse training sets or system simulation
  • Power electronics with integrated support for embedded AI
  • 24 h fault-prediction for Gallium Nitride (GaN) and Silicon Carbide (SiC) based power converters
  • 24 h fault-prediction and fault mitigation for electric drives
  • Sensors for reliability prediction in power modules


Supported by 33 partners, R-PODID innovations are implemented into the power modules and applied in the four use cases for conveyor belts, industrial lighting, automotive traction inverters, and a heavy-duty testbed.



Duration: 36 months

Start and end date: 2023 09 01 – 2026 08 31

Coordinator: University of Bologna

Number of partners: 33

Total budget: € 23.7M

EU budget contribution: € 7.2M


More information can be found here:



In this project, the Chair of Energy Conversion will perform short-circuit tests on the GaN HEMTs. Hereby, aging effects will be investigated and parameters will be identified, which give information about the current state of health of the power semiconductor. In addition, a physic-based model will be created that will provide a prediction for the remaining useful lifetime.

  • Application of threshold voltage shift findings to GaN HEMTs
  • Performance of short-circuit test and aging measurements on GaN HEMTs
  • Derivation of physical models for the prediction of the lifetime of GaN HEMTs

ACKNOWLEDGMENT: R-PODID receives funding within the Key Digital Technologies Joint Undertaking (KDT JU) - the Public-Private Partnership for research, development and innovation under Horizon Europe – and National Authorities of Italy, Turkey, Portugal, The Netherlands, Czech Republic, Latvia, Greece, Germany, Austria, and Romania under grant agreement n° 101112338.

Disclaimer: Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.