A Lifetime Prediction Method for SiC MOSFET Under Low Air Pressure Environment Considering Variation of Convective Heat Transfer Coefficient

In low air pressure environments (LAPE), the reduced cooling capacity of air shortens the SiC MOSFET's lifetime. Quantifying the shortened lifetime of SiC MOSFET under LAPE effectively is challenging due to the lack of targeted lifetime prediction methods. This paper proposes a novel lifetime prediction method that considers thermal transfer characteristics of the SiC MOSFET relying on natural convection for cooling under LAPE. The junction temperature of devices under LAPE can be calculated by deriving the functional relationship between air pressure (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P<sub>a</sub></i>) and convection heat transfer coefficient of heat sink and air. Then, a relationship between solder layer fatigue degradation and failure criteria is established to enable lifetime prediction of the SiC MOSFETs. The power cycling experiment demonstrates that the lifetime of SiC MOSFETs at 700 hPa is 4,700 cycles shorter compared to that at 1,013.25 hPa. Under both Pa conditions, the prediction errors of the proposed approach remain within 360 cycles. Lifetime performance of devices under real operating conditions is further analyzed to shed light on the assessment of device lifetime under LAPE. The proposed method provides a convenient and effective analytical tool for lifetime design and assessment of SiC MOSFET under LAPE.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-06-30
DOI
https://doi.org/10.1109/tpel.2025.3582296
Citations
2
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Lifetime Prediction Method for SiC MOSFET Under Low Air Pressure Environment Considering Variation of Convective Heat Transfer Coefficient

Heng‐Ming Tai, Xiong Du, Zhenye Wang, Hongyu Nie
2 citations
IEEE Transactions on Power Electronics
Silicon Carbide Semiconductor Technologies
1.46
article

A Lifetime Prediction Method for SiC MOSFET Under Low Air Pressure Environment Considering Variation of Convective Heat Transfer Coefficient

Heng‐Ming Tai, Xiong Du, Zhenye Wang, Hongyu Nie
article en
2 citations

Abstract

In low air pressure environments (LAPE), the reduced cooling capacity of air shortens the SiC MOSFET's lifetime. Quantifying the shortened lifetime of SiC MOSFET under LAPE effectively is challenging due to the lack of targeted lifetime prediction methods. This paper proposes a novel lifetime prediction method that considers thermal transfer characteristics of the SiC MOSFET relying on natural convection for cooling under LAPE. The junction temperature of devices under LAPE can be calculated by deriving the functional relationship between air pressure (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P<sub>a</sub></i>) and convection heat transfer coefficient of heat sink and air. Then, a relationship between solder layer fatigue degradation and failure criteria is established to enable lifetime prediction of the SiC MOSFETs. The power cycling experiment demonstrates that the lifetime of SiC MOSFETs at 700 hPa is 4,700 cycles shorter compared to that at 1,013.25 hPa. Under both Pa conditions, the prediction errors of the proposed approach remain within 360 cycles. Lifetime performance of devices under real operating conditions is further analyzed to shed light on the assessment of device lifetime under LAPE. The proposed method provides a convenient and effective analytical tool for lifetime design and assessment of SiC MOSFET under LAPE.

IEEE Transactions on Power ElectronicsVol. 40(11)
Chongqing University (CN), University of Tulsa (US)
Climate action
Openalex Percentile: Top 17%
Silicon Carbide Semiconductor Technologies
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.