R-PODID PROJECT
R-PODID (Reliable Powerdown for Industrial Drives) aims to create an automated, seamless short-term failure prediction system for electric drive systems, power modules, and devices that can be integrated into power converters. This will allow for the prediction of electrical and mechanical failures in machines and their associated power converters within a limited horizon of 12 to 24 hours. As a result, it will enable energy-efficient shutdowns of more production machines during downtime, anticipating potential failures reliably. Additionally, it will support the effective mitigation of hazardous failures in applications that utilize modern power devices such as silicon carbide (SiC) and gallium nitride (GaN) semiconductors.
R-Podid main objective:
R-PODID (Reliable Powerdown for Industrial Drives) 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.
How the Project Works
R-Podid consortium consists of 33 partners from 11 European countries, including Universities, and companies and works on four use cases:
automotive traction inverter: Automotive fault mitigation with applications for traction inverter of an off-road electric vehicle and online estimation of residual useful lifetime (RUL).
conveyor belt: Aim to increase reliability of conveyor belt motors in a general assembly line by predicting maintenance.
industrial lighting: Industrial lighting with improved predictions on remaining useful lifetime of lighting electronics by using AI enabled GaN power converter modules.
heavy duty testbed: Testbed with wide bandgap semiconductor inverters in induction machines for heavy-duty e-axle testbed.
What HPE does:
Development of a SiC Inverter (Automotive SiC traction inverter) integrated with AI software for monitoring its health. Specifically, HPE will handle the logic monitoring, while ST will manage the high power monitoring.
