Enhanced Behavioral Modeling for Short-Circuit Ruggedness Analysis in GaN-Based Half-Bridge

Gallium Nitride (GaN) transistors are gaining popularity in industrial and automotive applications due to their ability to achieve high power density and higher efficiency. However, their reliability and robustness still pose limitations to their widespread adoption. Short-Circuit (SC) robustness has been widely studied in literature by means of experimental characterizations. However, less attention has been drawn to the simulation of GaN HEMTs operating in SC conditions due to the absence of accurate models that can fully describe the main phenomena impacting the SC behavior of a GaN device, such as drain current collapse and gate-leakage current increasing. In this context, this work proposes a behavioral model for the drain and gate current of a 650-V/60-A GaN HEMT, that is integrated into the manufacturer model of the device in the LTSpice simulation environment. The proposed model shows a valuable accuracy improvement in determining drain and gate currents during the SC of a GaN half-bridge, as demonstrated by comparing simulations and experimental tests performed on a hardware prototype in different operating conditions. It is also demonstrated that the model can be applied to other 650 V GaN HEMTs, becoming a reliable instrument to simulate the device and to design an effective SC protection circuit.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2025-05-26
DOI
https://doi.org/10.1109/jestpe.2025.3573517
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Behavioral Modeling for Short-Circuit Ruggedness Analysis in GaN-Based Half-Bridge

Simone Palazzo, G. Busatto, Thiago Pereira, Marco Liserre et al.
IEEE Journal of Emerging and Selected Topics in Power Electronics
Silicon Carbide Semiconductor Technologies
article

Enhanced Behavioral Modeling for Short-Circuit Ruggedness Analysis in GaN-Based Half-Bridge

Simone Palazzo, G. Busatto, Thiago Pereira, Marco Liserre, Yoann Pascal
article en

Abstract

Gallium Nitride (GaN) transistors are gaining popularity in industrial and automotive applications due to their ability to achieve high power density and higher efficiency. However, their reliability and robustness still pose limitations to their widespread adoption. Short-Circuit (SC) robustness has been widely studied in literature by means of experimental characterizations. However, less attention has been drawn to the simulation of GaN HEMTs operating in SC conditions due to the absence of accurate models that can fully describe the main phenomena impacting the SC behavior of a GaN device, such as drain current collapse and gate-leakage current increasing. In this context, this work proposes a behavioral model for the drain and gate current of a 650-V/60-A GaN HEMT, that is integrated into the manufacturer model of the device in the LTSpice simulation environment. The proposed model shows a valuable accuracy improvement in determining drain and gate currents during the SC of a GaN half-bridge, as demonstrated by comparing simulations and experimental tests performed on a hardware prototype in different operating conditions. It is also demonstrated that the model can be applied to other 650 V GaN HEMTs, becoming a reliable instrument to simulate the device and to design an effective SC protection circuit.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 13(6)
Università degli studi di Cassino e del Lazio Meridionale (IT), Christian-Albrechts-Universität zu Kiel (DE), Fraunhofer Institute for Silicon Technology (DE)
European Commission, Deutsche Forschungsgemeinschaft
Climate action
Openalex Percentile: Top 90%
Silicon Carbide Semiconductor Technologies
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.

Enhanced Behavioral Modeling for Short-Circuit Ruggedness Analysis in GaN-Based Half-Bridge — Simone Palazzo, G. Busatto, et al. · IEEE Journal of Emerging and Selected Topics in Power Electronics (2025) | TGRS Research Map | TGRS