{"title":"具有数据表驱动的统一I-V特性的快速切换GaN HEMT的非分段导通切换瞬态分析模型","authors":"Xiao Li;Zhuofan Xiong;Yushan Liu","doi":"10.1109/TIE.2025.3528485","DOIUrl":null,"url":null,"abstract":"Gallium nitride (GaN) high electron mobility transistor (HEMT) is valued in power applications for their capabilities in high-speed switching. Accurate modeling of its fast turn-on transients, however, is complicated by overlapping nonlinear regions that conventional models fail to delineate clearly. In this article, a non-segmented analytical model for GaN HEMT turn-on switching transient is introduced utilizing limited data available from datasheet, which simplifies calculation and maintains accuracy by integrating diverse operating regions into a single framework. Moreover, a unified I–V model derived from available limited datasheet information, is presented to incorporate the effects of <italic>V</i><sub>gs</sub> and <italic>V</i><sub>ds</sub>, thereby enhancing the portrayal of dynamic characteristics under fast-switching conditions. Additionally, a novel C–V extraction method, which combines Q–V and C–V data, is given to effectively capture capacitance as influenced by <italic>V</i><sub>gs</sub>. The enhanced accuracy of the proposed model in predicting transient behaviors, particularly the rates of current change (di/dt) and voltage change (dv/dt), is confirmed through simulation and experimental validation, offering a new evaluative tool for GaN HEMT in power systems.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 8","pages":"7944-7954"},"PeriodicalIF":7.2000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nonsegmented Turn-On Switching Transient Analytical Model for Fast-Switching GaN HEMT With Datasheet-Driven Unified I–V Characterization\",\"authors\":\"Xiao Li;Zhuofan Xiong;Yushan Liu\",\"doi\":\"10.1109/TIE.2025.3528485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gallium nitride (GaN) high electron mobility transistor (HEMT) is valued in power applications for their capabilities in high-speed switching. Accurate modeling of its fast turn-on transients, however, is complicated by overlapping nonlinear regions that conventional models fail to delineate clearly. In this article, a non-segmented analytical model for GaN HEMT turn-on switching transient is introduced utilizing limited data available from datasheet, which simplifies calculation and maintains accuracy by integrating diverse operating regions into a single framework. Moreover, a unified I–V model derived from available limited datasheet information, is presented to incorporate the effects of <italic>V</i><sub>gs</sub> and <italic>V</i><sub>ds</sub>, thereby enhancing the portrayal of dynamic characteristics under fast-switching conditions. Additionally, a novel C–V extraction method, which combines Q–V and C–V data, is given to effectively capture capacitance as influenced by <italic>V</i><sub>gs</sub>. The enhanced accuracy of the proposed model in predicting transient behaviors, particularly the rates of current change (di/dt) and voltage change (dv/dt), is confirmed through simulation and experimental validation, offering a new evaluative tool for GaN HEMT in power systems.\",\"PeriodicalId\":13402,\"journal\":{\"name\":\"IEEE Transactions on Industrial Electronics\",\"volume\":\"72 8\",\"pages\":\"7944-7954\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2025-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Industrial Electronics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10856577/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10856577/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Nonsegmented Turn-On Switching Transient Analytical Model for Fast-Switching GaN HEMT With Datasheet-Driven Unified I–V Characterization
Gallium nitride (GaN) high electron mobility transistor (HEMT) is valued in power applications for their capabilities in high-speed switching. Accurate modeling of its fast turn-on transients, however, is complicated by overlapping nonlinear regions that conventional models fail to delineate clearly. In this article, a non-segmented analytical model for GaN HEMT turn-on switching transient is introduced utilizing limited data available from datasheet, which simplifies calculation and maintains accuracy by integrating diverse operating regions into a single framework. Moreover, a unified I–V model derived from available limited datasheet information, is presented to incorporate the effects of Vgs and Vds, thereby enhancing the portrayal of dynamic characteristics under fast-switching conditions. Additionally, a novel C–V extraction method, which combines Q–V and C–V data, is given to effectively capture capacitance as influenced by Vgs. The enhanced accuracy of the proposed model in predicting transient behaviors, particularly the rates of current change (di/dt) and voltage change (dv/dt), is confirmed through simulation and experimental validation, offering a new evaluative tool for GaN HEMT in power systems.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.