R-PODID 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.
R-PODID PROJECT OVERVIEW
Heavy Duty Testbed
Automotive Traction Inverter
Industrial Lighting
Conveyer Belt
Innovations
Supported by 33 partners, R-PODID innovations are implemented into the power modules and applied in the four use cases for:
R-PODID PROJECT OBJECTIVES
Methodology
Methodology for fault-prediction model generation from sparse training sets or system simulation.
Power electronics
Power electronics with integrated support for embedded AI.
Fault-prediction
24 h fault-prediction for Gallium Nitride (GaN) and Silicon Carbide (SiC) based power converters.
Sensors
Sensors for reliability prediction in power modules.
Faut-prediction and mitigation
24 h fault-prediction and fault mitigation for electric drives.
Start date
2023 09 01
Project coordinator
University of Bologna
Total budget
€ 23.7M
Number of partners
33
Duration in months
36
R-PODID PROJECT GENERAL INFORMATION
EU budget contribution
€ 7.2M
2026 08 31
