Complete loss distribution model of GaN HEMTs considering the influence of parasitic parameters

被引:1
作者
Gao, Shengwei [1 ]
Tian, Jinrui [1 ]
Fu, Xiaoyu [1 ]
Li, Yongxiao [1 ]
Wang, Bo [1 ]
Zhao, Lixia [1 ]
机构
[1] Tiangong Univ, Sch Elect Engn, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
GaN HEMT; Loss analysis model; Influence of parasitic parameters; Loss distribution of the switching process;
D O I
10.1007/s43236-023-00710-3
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
When compared with Si-based devices, Gallium Nitride High Electron Mobility Transistors (GaN HEMTs) possess the advantages of lower junction-to-case thermal resistance, smaller on-state resistance, faster switching velocity, and higher switching frequency. These advantages make them a promising power semiconductor device. However, with the enhancement of switching frequencies, the influence of parasitic parameters on switching ringing and the losses of GaN HEMTs are increasingly severe. Thus, it is necessary to predict the loss distribution by establishing an accurate loss model of the switching process. On the premise of considering parasitic inductance, nonlinear junction capacitance, and reverse transfer characteristics, this article proposes a precise switching loss model of GaN HEMTs to predict the loss distribution in the switching process. In addition, it verifies results based on the double pulse test (DPT) circuit, which validates the accuracy of the proposed model. Ultimately, based on the above-mentioned loss model, this article discussed the influence of parasitic capacitance and inductance on the output capacitance loss (Eqoss), the reverse conduction loss (ESD), the opening V-I overlap loss (Eopen), the closing V-I overlap loss (Eclose), and the total loss (Etotal). Then, this article produces an optimizing method to enhance the conversion efficiency of GaN HEMTs in accordance with laboratory findings.
引用
收藏
页码:119 / 129
页数:11
相关论文
共 17 条
[1]   A Complete Switching Analytical Model of Low-Voltage eGaN HEMTs and Its Application in Loss Analysis [J].
Chen, Jian ;
Luo, Quanming ;
Huang, Jian ;
He, Qingqing ;
Du, Xiong .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (02) :1615-1625
[2]   A Postprocessing-Technique-Based Switching Loss Estimation Method for GaN Devices [J].
Dong, Minghai ;
Li, Hui ;
Yin, Shan ;
Wu, Yingzhe ;
See, Kye Yak .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (07) :8253-8266
[3]  
GaN Systems Inc, 2022, GAT DRIV CIRC DES GA
[4]   Review of Loss Distribution, Analysis, and Measurement Techniques for GaN HEMTs [J].
Gareau, Jacob ;
Hou, Ruoyu ;
Emadi, Ali .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (07) :7405-7418
[5]   Power Loss Characterization and Modeling for GaN-Based Hard-Switching Half-Bridges Considering Dynamic ON-State Resistance [J].
Hou, Ruoyu ;
Shen, Yanfeng ;
Zhao, Hui ;
Hu, Hao ;
Lu, Juncheng ;
Long, Teng .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2020, 6 (02) :540-553
[6]  
Hou RY, 2018, APPL POWER ELECT CO, P919, DOI 10.1109/APEC.2018.8341124
[7]   Analytical Loss Model of High Voltage GaN HEMT in Cascode Configuration [J].
Huang, Xiucheng ;
Li, Qiang ;
Liu, Zhengyang ;
Lee, Fred C. .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2014, 29 (05) :2208-2219
[8]  
Lu JC, 2017, IEEE ENER CONV, P3654, DOI 10.1109/ECCE.2017.8096647
[9]   Research of Power Loop Layout and Parasitic Inductance in GaN Transistor Implementation [J].
Sun, Bainan ;
Jorgensen, Kasper Luthje ;
Zhang, Zhe ;
Andersen, Michael A. E. .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (02) :1677-1687
[10]  
Sun Shuai, 2024, Proceedings of the Chinese Society for Electrical Engineering, V44, P2386, DOI 10.13334/j.0258-8013.pcsee.230017