R-PODID - RELIABLE POWERDOWN FOR INDUSTRIAL DRIVES
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.
Methodology for fault-prediction model generation from sparse training sets or system simulation.
Objective 1
Power systems with integrated support for embedded AI.
Objective 2
R-PODID PROJECT OBJECTIVES
24 h fault-prediction for Gallium Nitride (GaN) and Silicon Carbide (SiC) based power converters.
Objective 3
Sensors for reliability prediction in power modules.
Objective 5
24 h fault-prediction and fault mitigation for electric drives.
Objective 4
Innovations within R-PODID are implemented into the power modules and applied in the four use cases.
R-PODID PROJECT INNOVATIONS
Power modules
GaN based
Power modules
SiC based
Automotive Traction Inverter
(UC2)
Conveyer Belt
(UC1)
Heavy Duty Testbed
(UC2)
Industrial Lighting
(UC3)
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R-PODID PROJECT USER CASES & LIBRARY
User Cases
Library
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Power modules
GaN based
Conveyer Belt
(UC1)
Industrial Lighting
(UC3)
Power modules
SiC based
Automotive Traction Inverter
(UC2)
Heavy Duty Testbed
(UC2)
Innovations within R-PODID are implemented into the power modules and applied in the four use cases.
