Characteristics and propagation of switching-induced stress waves in SiC MOSFET power modules

Switching-induced stress waves (SSW) are recognized as a promising non-invasive technology for real-time monitoring of power module packaging failures, though limited by the lack of a comprehensive understanding of their characteristics and propagation mechanisms. In this study, a dedicated SSW detection platform was developed for SiC MOSFET power modules, where the mechanical wave nature was verified through time-delay analysis. Dominant frequency components at 150 kHz and 270 kHz were identified using both piezoelectric ceramic and PVDF sensors. Experimental investigations further demonstrated that the time-domain parameters of SSW were predominantly influenced by bus voltage (U DC ), followed by load current (I R ), whereas principal frequency components remained stable across operational conditions. Propagation effects through the module were systematically analyzed via finite element modeling, revealing a 5.82% increase in signal amplitude and 5.88% spectral bandwidth expansion after transmission. These results confirm that sensor-captured signals can be effectively equated to original chip vibrations in defect-free propagation paths.

Authors

Institutions

Publication Details

Journal
Frontiers in Energy Research
Published
2025-06-18
DOI
https://doi.org/10.3389/fenrg.2025.1623462
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characteristics and propagation of switching-induced stress waves in SiC MOSFET power modules

Qi Ni, Meng Sun, Siqi Huang, Fan Lü et al.
Frontiers in Energy Research
Silicon Carbide Semiconductor Technologies
article

Characteristics and propagation of switching-induced stress waves in SiC MOSFET power modules

Qi Ni, Meng Sun, Siqi Huang, Fan Lü, Yan Mao, Heng Qian
article en

Abstract

Switching-induced stress waves (SSW) are recognized as a promising non-invasive technology for real-time monitoring of power module packaging failures, though limited by the lack of a comprehensive understanding of their characteristics and propagation mechanisms. In this study, a dedicated SSW detection platform was developed for SiC MOSFET power modules, where the mechanical wave nature was verified through time-delay analysis. Dominant frequency components at 150 kHz and 270 kHz were identified using both piezoelectric ceramic and PVDF sensors. Experimental investigations further demonstrated that the time-domain parameters of SSW were predominantly influenced by bus voltage (U DC ), followed by load current (I R ), whereas principal frequency components remained stable across operational conditions. Propagation effects through the module were systematically analyzed via finite element modeling, revealing a 5.82% increase in signal amplitude and 5.88% spectral bandwidth expansion after transmission. These results confirm that sensor-captured signals can be effectively equated to original chip vibrations in defect-free propagation paths.

Frontiers in Energy ResearchVol. 13
Shanghai Jiao Tong University (CN), Shanghai Electric (China) (CN), Shanghai Electric Cable Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 88%
Silicon Carbide Semiconductor Technologies
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.

Characteristics and propagation of switching-induced stress waves in SiC MOSFET power modules — Qi Ni, Meng Sun, et al. · Frontiers in Energy Research (2025) | TGRS Research Map | TGRS