Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization

The escalating demands in energy conversion necessitate the evolution of efficient power electronic devices beyond the limitations of traditional silicon (Si) counterparts. This research delves into the intricacies of the Enhancement mode Gallium Nitride High Electron Mobility Transistor (E-mode GaN...

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Main Authors: Liu, Xinzhi, Shafie, Suhaidi, Radzi, Mohd Amran Mohd, Azis, Norhafiz, Karim, Abdul Hafiz Abdul
Format: Article
Published: Elsevier Ltd 2024
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author Liu, Xinzhi
Shafie, Suhaidi
Radzi, Mohd Amran Mohd
Azis, Norhafiz
Karim, Abdul Hafiz Abdul
author_facet Liu, Xinzhi
Shafie, Suhaidi
Radzi, Mohd Amran Mohd
Azis, Norhafiz
Karim, Abdul Hafiz Abdul
author_sort Liu, Xinzhi
collection UPM
description The escalating demands in energy conversion necessitate the evolution of efficient power electronic devices beyond the limitations of traditional silicon (Si) counterparts. This research delves into the intricacies of the Enhancement mode Gallium Nitride High Electron Mobility Transistor (E-mode GaN HEMT). A focus is placed on its static characterization, parameter analysis, and the influence of external parasitic inductances, particularly regarding oscillation challenges during its hard switching process. Forward and revise bias are conducted through comparison with Si-MOSFET and Cascade-GaN HEMT, along with its static on-resistance and transfer characteristics. Through rigorous half-bridge double pulse circuit LTSPICE simulations, this study deciphers the turn-on and turn-off dynamics of the E-mode GaN HEMT. By scrutinizing various parasitic inductances, the research elucidates mechanisms instigating high-frequency voltage and current oscillations. Significantly, the research presents a hierarchy of parasitic inductance influences, employing an energy loss comparison. This analysis underscores the prominent impact of the common source parasitic inductance, which exhibits energy loss increases of 23.6 and 22.7 at junction temperatures of 25 °C and 75 °C, respectively. Building on these insights, the study recommends strategies to mitigate the effects of external parasitic inductance, underscoring the pivotal role of oscillation suppression in advanced GaN Printed Circuit Board (PCB) and Integrated Circuit (IC) designs. This comprehensive inquiry provides a blueprint for enhancing GaN circuit designs, paving the way for their optimal application in the evolving realm of power electronics.
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spelling upm.eprints-1058342024-05-08T14:27:11Z http://psasir.upm.edu.my/id/eprint/105834/ Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization Liu, Xinzhi Shafie, Suhaidi Radzi, Mohd Amran Mohd Azis, Norhafiz Karim, Abdul Hafiz Abdul The escalating demands in energy conversion necessitate the evolution of efficient power electronic devices beyond the limitations of traditional silicon (Si) counterparts. This research delves into the intricacies of the Enhancement mode Gallium Nitride High Electron Mobility Transistor (E-mode GaN HEMT). A focus is placed on its static characterization, parameter analysis, and the influence of external parasitic inductances, particularly regarding oscillation challenges during its hard switching process. Forward and revise bias are conducted through comparison with Si-MOSFET and Cascade-GaN HEMT, along with its static on-resistance and transfer characteristics. Through rigorous half-bridge double pulse circuit LTSPICE simulations, this study deciphers the turn-on and turn-off dynamics of the E-mode GaN HEMT. By scrutinizing various parasitic inductances, the research elucidates mechanisms instigating high-frequency voltage and current oscillations. Significantly, the research presents a hierarchy of parasitic inductance influences, employing an energy loss comparison. This analysis underscores the prominent impact of the common source parasitic inductance, which exhibits energy loss increases of 23.6 and 22.7 at junction temperatures of 25 °C and 75 °C, respectively. Building on these insights, the study recommends strategies to mitigate the effects of external parasitic inductance, underscoring the pivotal role of oscillation suppression in advanced GaN Printed Circuit Board (PCB) and Integrated Circuit (IC) designs. This comprehensive inquiry provides a blueprint for enhancing GaN circuit designs, paving the way for their optimal application in the evolving realm of power electronics. Elsevier Ltd 2024 Article PeerReviewed Liu, Xinzhi and Shafie, Suhaidi and Radzi, Mohd Amran Mohd and Azis, Norhafiz and Karim, Abdul Hafiz Abdul (2024) Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization. Microelectronics Reliability, 152. art. no. 115293. pp. 1-11. ISSN 0026-2714; ESSN: 1872-941X https://www.sciencedirect.com/science/article/pii/S0026271423003931 10.1016/j.microrel.2023.115293
spellingShingle Liu, Xinzhi
Shafie, Suhaidi
Radzi, Mohd Amran Mohd
Azis, Norhafiz
Karim, Abdul Hafiz Abdul
Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization
title Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization
title_full Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization
title_fullStr Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization
title_full_unstemmed Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization
title_short Modelling and mitigating oscillation in E-mode GaN HEMT: A simulation-based approach to parasitic inductance optimization
title_sort modelling and mitigating oscillation in e mode gan hemt a simulation based approach to parasitic inductance optimization
work_keys_str_mv AT liuxinzhi modellingandmitigatingoscillationinemodeganhemtasimulationbasedapproachtoparasiticinductanceoptimization
AT shafiesuhaidi modellingandmitigatingoscillationinemodeganhemtasimulationbasedapproachtoparasiticinductanceoptimization
AT radzimohdamranmohd modellingandmitigatingoscillationinemodeganhemtasimulationbasedapproachtoparasiticinductanceoptimization
AT azisnorhafiz modellingandmitigatingoscillationinemodeganhemtasimulationbasedapproachtoparasiticinductanceoptimization
AT karimabdulhafizabdul modellingandmitigatingoscillationinemodeganhemtasimulationbasedapproachtoparasiticinductanceoptimization