Electro-Thermal Coupling Modeling for Accurate Junction Temperature Prediction in GaN HEMTs
编号:29 访问权限:仅限参会人 更新:2025-09-30 10:02:43 浏览:3次 口头报告

报告开始:2025年10月10日 16:50(Asia/Shanghai)

报告时间:15min

所在会场:[S1] Computer simulations for reducing CO2 emission [S6-1] Session 6-1: Numerical methods in multiscale and multi-physics modeling

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摘要
Gallium nitride high electron mobility transistors (GaN HEMTs) have attracted widespread attention in high-frequency and high-power applications due to their superior electrical properties. However, their performance is significantly limited by severe self-heating effects, making accurate junction temperature prediction critical. In most existing studies, the internal heat source of GaN HEMTs under different thermal resistance conditions is simplified as a constant heat flux. Although this assumption facilitates thermal modeling, it neglects the intrinsic thermal–electrical coupling, wherein the power dissipation of the device decreases with rising temperature, thus reducing the accuracy of temperature prediction. To address this issue, we develop a bidirectional electro-thermal coupling model based on semiconductor device physics. This model allows the heat generation to respond dynamically to the device temperature, enabling more precise junction temperature estimation. Three cases are set up to examine the difference in temperature prediction between the conventional constant heat flux method and the proposed coupled model. Under the tested conditions, the constant heat flux assumption yields a temperature prediction error of up to 17.4%, highlighting the necessity of employing a bidirectional electro-thermal approach in GaN HEMT thermal analysis.
 
关键词
GaN HEMT,Electro-thermal coupling,Junction temperature,Microchannel cooling
报告人
Ye Song
Xi'an Jiaotong University, China

稿件作者
Li Chen Xi'An Jiaotong University
Ye Song Xi'an Jiaotong University
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重要日期
  • 会议日期

    10月09日

    2025

    10月13日

    2025

  • 08月30日 2025

    初稿截稿日期

  • 10月13日 2025

    注册截止日期

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Huazhong University of Science and Technology
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