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ZHANG Bai-hua,LI Hong,WANG Bo-yu,LIU Yong-di,LI Wen-jing.Thermal Simulation and Experiments of IGBTs in Chaotic SPWM Converter based on Icepak Software[J].JOURNAL OF POWER SUPPLY,2014,12(3):42-46

Thermal Simulation and Experiments of IGBTs in Chaotic SPWM Converter based on Icepak Software

Received:December 31, 2013 Revised:February 23, 2014

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DOI：10.13234/j.issn.2095-2805.2014.3.42

Keywords:chaotic SPWM power switching device 3D modeling Icepak temperature experiments

Fund Project:Project Supported by National Science Foundation of China(51007004);the Fundamental Resseerch Funds for Central Universities Key Program(2012JBM096);Beijing Higher Education Young Elite Teacher(YETP0569);Beijing Natural Science Foundation(3142015)

Author	Institution	Email
ZHANG Bai-hua	School of Electrical Engineering, Beijing Jiaotong University	09291159@bjtu.edu.cn
LI Hong	School of Electrical Engineering, Beijing Jiaotong University	hli@bjtu.edu.cn
WANG Bo-yu	School of Electrical Engineering, Beijing Jiaotong University	11121665@bjtu.edu.cn
LIU Yong-di	School of Electrical Engineering, Beijing Jiaotong University	11121634@bjtu.edu.cn
LI Wen-jing	Electric Power Dispatching Control Center, Taiyuan Power Supply Company	lwjxyz@126.com

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Abstract:

Chaotic SPWM is an improved sinusoidal pulse width modulation method based on chaos theory, which has a significant effect on electromagnetic interference suppression in converters. This paper took IGBTs as examples, analyzed the power switches' temperature features under chaotic SPWM control based on a four quadrants rectifier. Firstly, a 3D model of IGBT power devices was built based on SolidWorks software and was imported into Icepak software, then the IGBT power losses under chaotic SPWM control and that under traditional SPWM control were calculated based on IGBT loss calculation model theory, the corresponding dynamic simulation was conducted in Icepak. The simulation results show that under the same output power conditions and under 1 kHz working frequency, the IGBT's temperature under Chaotic SPWM control which based on Logistic map was slightly difference from that under traditional SPWM control. Finally, an experimental platform was build based on the simulation model, and the experiment results proved the correctness of the simulation and provided an effective method to analyze the temperature feature under chaotic SPWM control.