Literature DB >> 33265986

Thermal Impedance Characterization Using Optical Measurement Assisted by Multi-Physics Simulation for Multi-Chip SiC MOSFET Module.

Min-Ki Kim1, Sang Won Yoon1.   

Abstract

In this paper, an approach to determine the thermal impedance of a multi-chip silicon carbide (SiC) power module is proposed, by fusing optical measurement and multi-physics simulations. The tested power module consists of four parallel SiC metal-oxide semiconductor field-effect transistors (MOSFETs) and four parallel SiC Schottky barrier diodes. This study mainly relies on junction temperature measurements performed using fiber optic temperature sensors instead of temperature-sensitive electrical parameters (TESPs). However, the fiber optics provide a relatively slow response compared to other available TSEP measurement methods and cannot detect fast responses. Therefore, the region corresponding to undetected signals is estimated via multi-physics simulations of the power module. This method provides a compensated cooling curve. We analyze the thermal resistance using network identification by deconvolution (NID). The estimated thermal resistance is compared to that obtained via a conventional method, and the difference is 3.8%. The proposed fusion method is accurate and reliable and does not require additional circuits or calibrations.

Entities:  

Keywords:  SiC MOSFET; multi-chip; power module; thermal impedance

Year:  2020        PMID: 33265986     DOI: 10.3390/mi11121060

Source DB:  PubMed          Journal:  Micromachines (Basel)        ISSN: 2072-666X            Impact factor:   2.891


  2 in total

1.  Development of a Three-Dimensional Optical Verification Technology without Environmental Pollution for Metal Components with Different Surface Properties.

Authors:  Chil-Chyuan Kuo; Zong-Yan He; Chil-Xian Lee
Journal:  Materials (Basel)       Date:  2022-09-04       Impact factor: 3.748

2.  Monitoring Junction Temperature of RF MOSFET under Its Working Condition Using Fiber Bragg Grating.

Authors:  Zhenmin Liu; Na Chen; Yong Liu; Zhenyi Chen; Fufei Pang; Tingyun Wang
Journal:  Micromachines (Basel)       Date:  2022-03-18       Impact factor: 2.891

  2 in total

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