Title
An Experimentally Verified Behavioral GaN HD-GIT Transistor ModelVersion
Published version
Rights
© 2024 The AuthorsAccess
Open accessPublisher’s version
https://doi.org/10.1109/TPEL.2025.3532604Published at
IEEE Transactions on Power Electronics Early AccessPublisher
IEEEKeywords
GaNHD-GIT
Behavioral model
Abstract
GaN HEMT transistors, with their superior on-resistance and switching times, provide a promising alternative to Si and SiC devices. Commercially available normally OFF GaN transistors can be categoriz ... [+]
GaN HEMT transistors, with their superior on-resistance and switching times, provide a promising alternative to Si and SiC devices. Commercially available normally OFF GaN transistors can be categorized into two main groups: hybrid transistors, which incorporate a Si MOSFET, and e-mode transistors. The latter are the most promising GaN transistors, as they do not have the limitations of Si MOSFETs. Currently, there are two commercial e-mode transistors: the Schottky Gate (SG) p-GaN and the HD-GIT (Hybrid-Drain-embedded Gate Injection Transistor) transistors. However, they differ from the gate terminal standards that have been defined for years by Silicon IGBTs and MOSFETs (lower threshold voltage, non-constant Miller plateau, etc.), complicating their adoption in power electronics converters. This is particularly true for the HD-GIT transistor, which diverges from standard MOSFET gate operations due to its non-isolated gate terminal. To aid application engineers in understanding these devices and facilitating their adoption in real power applications, simulation models are useful tools. However, there are no simple HD-GIT transistor models that can be easily parameterized by application engineers. Therefore, in this work, an experimentally verified behavioral model of an HD-GIT transistor is presented and described. [-]
Funder
Comisión EuropeaProgram
Horizon-JU-IANumber
101111890Award URI
https://doi.org/10.3030/101111890Project
Affordable smart GaN IC solutions as enabler of greener applications (ALL2GaN)Collections
- Articles - Engineering [695]
The following license files are associated with this item: