Condition-Based Maintenance for SiC-based Power Electronic Building Blocks
Abstract
The objective of this project is to create condition-based maintenance algorithms and strategies for power electronic building blocks (PEBBs) comprising silicon carbide (SiC) devices. SiC devices operate at higher temperatures, with increased blocking voltages, lower static losses and improved dynamic performance compared to Si-based devices. These superior characteristics make SiC devices attractive for many high power applications such as naval power system, aerospace architecture, and land-based solid-state transformers. Advantages in the device translates into system level benefits including increased efficiency, reduced overall volume, and improvedperformance. With the widespread proliferation of SiC devices, therefore, it is imperative to understand and predict failures of these SiC-based PEBBs in critical power systems such as in onboard ship power system. Our approach is to create a DC/DC high frequency transformer using a bidirectional series resonant converter comprising 1.7 kV SiC MOSFET. Accelerated power cycling will be used in one of the PEBBs to accelerate degradation in the devices. Using nonintrusive monitoring methods, different voltages and currents in the PEBB will be measured. Failure prediction algorithms will be executed on the measured data to predict failures and remaining useful life of the PEBB. If successful, our proposed research will be able to predict failures and remaining useful life in power electronic building blocks (PEBBs) comprising SiliconCarbide devices. This will enable a higher reliability, lower downtime, and proactive replacement of PEBBs before catastrophic failures.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 17, 2018
- Source ID
- N000141812889
Entities
People
- Arijit Banerjee
Organizations
- Office of Naval Research
- United States Navy
- University of Illinois Urbana–Champaign