Towards Health Monitoring of SiC MOSFETs by Precise Junction Temperature Profiling

Conference Paper (2025)
Author(s)

F. Simjanoski (TU Delft - Electronic Components, Technology and Materials)

A. Shekhar (TU Delft - DC systems, Energy conversion & Storage)

R.H. Poelma (Nexperia B.V., TU Delft - Electronic Components, Technology and Materials)

G. Zhang (TU Delft - Electronic Components, Technology and Materials)

Willem van Driel (Signify, TU Delft - Electronic Components, Technology and Materials)

Research Group
Electronic Components, Technology and Materials
DOI related publication
https://doi.org/10.1109/EuroSimE65125.2025.11006628
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Electronic Components, Technology and Materials
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
ISBN (electronic)
9798350393002
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Silicon-Carbide (SiC) MOSFETs are widely used in high-power and high-efficiency applications such as electric vehicles and power supplies. However, long-term reliability remains a critical concern, particularly under extreme operating conditions. This work aims to explain the health monitoring of SiC metal oxide-semiconductor field effect transistors (MOSFETs) through precise junction temperature (Tj) profiling based on performed measurements. The study focuses on the temperature-dependent behavior of the on-resistance (RDS(on)), a key parameter that varies with the aging, degradation, and temperature of the device. By systematically measuring RDS(on) at different temperatures and at various stages of the operating life of the device, we can establish a predictive model to assess the health of SiC MOSFETs. The importance of pulse duration of the drain current is stressed to avoid the self-heating effect with some device physics insights. The proposed methodology enables better understanding of the SiC MOSFET performance for future real-time condition monitoring, facilitating early failure detection and lifetime estimation. This approach provides valuable information for improving reliability and optimizing maintenance strategies in power electronics systems. Experimental results validate the effectiveness of the proposed method and give direction for future research opportunities.

Files

License info not available
warning

File under embargo until 24-11-2025