Real-Time Temperature Estimation of the Machine Drive SiC Modules Consisting of Parallel Chips per Switch for Reliability Modelling and Lifetime Prediction
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| Publicado en: | Machines vol. 13, no. 8 (2025), p. 689-717 |
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| Autor principal: | |
| Otros Autores: | , |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Kamel Tamer | |
| 245 | 1 | |a Real-Time Temperature Estimation of the Machine Drive SiC Modules Consisting of Parallel Chips per Switch for Reliability Modelling and Lifetime Prediction | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This paper presents a new methodical procedure to monitor in real time the junction temperature of SiC Power MOSFET modules of parallel-connected chips utilized in machine drive systems to develop their reliability modelling and predict their lifetime. The paper implements the on-line measurements of temperature-sensitive electrical parameters (TSEP) approach, particularly the quasi-threshold voltage and the on-state drain to source voltage, to estimate the junction temperature in real time. The proposed procedure firstly applied computational fluid dynamics analysis on the module under study to determine the chip which undergoes the maximum junction temperature during typical operation of the module. Then, a calibration phase, using double-pulse tests on the selected chip, is used to generate look-up tables to relate the TSEPs under study to the junction temperature. Next, the real-time estimation of junction temperature was accomplished during the on-line operation of the three-phase inverter, taking into account the induced distortion/noises due to operation of the parallel-connected chips in the module. After that, a comparison between the two TSEPs under study was provided to demonstrate their advantages/drawbacks. Finally, reliability modelling was developed to predict the lifetime of the studied module based on the estimated junction temperature under a predetermined mission profile. | |
| 653 | |a Reliability analysis | ||
| 653 | |a Dielectric properties | ||
| 653 | |a Threshold voltage | ||
| 653 | |a Thermal cycling | ||
| 653 | |a Semiconductors | ||
| 653 | |a Lookup tables | ||
| 653 | |a Parameter sensitivity | ||
| 653 | |a Modelling | ||
| 653 | |a Temperature | ||
| 653 | |a Modules | ||
| 653 | |a Computational fluid dynamics | ||
| 653 | |a Real time | ||
| 653 | |a Parallel connected | ||
| 653 | |a Silicon carbide | ||
| 700 | 1 | |a Olagunju Olamide | |
| 700 | 1 | |a Johnson, Temitope | |
| 773 | 0 | |t Machines |g vol. 13, no. 8 (2025), p. 689-717 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3244045170/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3244045170/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3244045170/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |