Optimized semi-physical EKV model for simulation of SiC MOSFETs

This paper presents a detailed static characteristic model based on the EKV (Enz Krummenacher and Vittoz) model for 1200 V SiC MOSFETs in power electronic applications, with a specific focus on I ds V gs at different temperatures. The study explores the nuanced behavior parameters in the model and provides a subset of results in this publication. Additionally, the methodology of parameter fitting for the model is elaborated upon, providing insights into the process of refining the model to match real-world behaviors. To validate the steady state characteristics, this paper integrates MOSFET capacitance modeling, internal diode characteristics, and the influence of parasitic elements in the printed circuit board (PCB) for dynamic simulations and comparison with experimental tests conducted. Notably, the model incorporates the physical behavior of the device and can facilitates the integration of drift models for specific parameters, such as threshold voltage V th , on state resistance R ds , on . Additionally, with the integration of aging parameters models the current sharing in parallelized devices used in power electronics can be predicted through simulation with the EKV model. This integration can be crucial for establishing models for predictive maintenance of converters equipped with SiC MOSFETs. • EKV-based static characteristic model for 1200 V SiC MOSFETs in power electronics • Focus on I ds ( V gs ) behavior at different temperatures and parameter fitting methodology • Model integrates SiC MOSFET capacitance, internal diode, and PCB parasitic elements for dynamic simulation validation.

Authors

Institutions

Publication Details

Journal
Microelectronics Reliability
Published
2025-05-16
DOI
https://doi.org/10.1016/j.microrel.2025.115780
Citations
1
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimized semi-physical EKV model for simulation of SiC MOSFETs

Z. Khatir, Léo Sterna, R. Gwoziecki, G. Perez et al.
1 citations
Microelectronics Reliability
Silicon Carbide Semiconductor Technologies
0.73
article

Optimized semi-physical EKV model for simulation of SiC MOSFETs

Z. Khatir, Léo Sterna, R. Gwoziecki, G. Perez, B.D.R. Bonkoungou
article en
1 citations

Abstract

This paper presents a detailed static characteristic model based on the EKV (Enz Krummenacher and Vittoz) model for 1200 V SiC MOSFETs in power electronic applications, with a specific focus on I ds V gs at different temperatures. The study explores the nuanced behavior parameters in the model and provides a subset of results in this publication. Additionally, the methodology of parameter fitting for the model is elaborated upon, providing insights into the process of refining the model to match real-world behaviors. To validate the steady state characteristics, this paper integrates MOSFET capacitance modeling, internal diode characteristics, and the influence of parasitic elements in the printed circuit board (PCB) for dynamic simulations and comparison with experimental tests conducted. Notably, the model incorporates the physical behavior of the device and can facilitates the integration of drift models for specific parameters, such as threshold voltage V th , on state resistance R ds , on . Additionally, with the integration of aging parameters models the current sharing in parallelized devices used in power electronics can be predicted through simulation with the EKV model. This integration can be crucial for establishing models for predictive maintenance of converters equipped with SiC MOSFETs. • EKV-based static characteristic model for 1200 V SiC MOSFETs in power electronics • Focus on I ds ( V gs ) behavior at different temperatures and parameter fitting methodology • Model integrates SiC MOSFET capacitance, internal diode, and PCB parasitic elements for dynamic simulation validation.

Microelectronics ReliabilityVol. 171
Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Institut des Sciences du Vivant Frédéric Joliot (FR), CentraleSupélec (FR), Laboratoire des systèmes et applications des technologies de l'information et de l'énergie (FR), Laboratoire d'Électronique des Technologies de l'Information (FR), Université Gustave Eiffel (FR), Université Grenoble Alpes (FR)
Affordable and clean energy
Openalex Percentile: Top 28%
Silicon Carbide Semiconductor Technologies
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.