Surge Current Analysis of High-Power Press Pack Diodes: Junction Temperature and Forward-Voltage Modeling

In recent years, the use of high-power semiconductor devices has seen growing demand across various applications, including data centers, electric vehicles, and traction systems. However, increasing power densities may increase challenges in ensuring the reliability of devices, particularly under high surge currents. These surge events may result in excessive power dissipation and rapid temperature increases, leading to device performance degradation and potential failure. Therefore, accurate temperature estimation is critical. However, existing approaches in the literature are mostly oversimplified and constrained by static I–V characteristics, limiting their accuracy. To encounter these limitations, this article proposes a forward-voltage-based temperature evaluation methodology for high-power diodes subjected to 10 ms surge events. The proposed model integrates rated electrical parameters with thermal simulation data to enable the accurate estimation of dynamic slope resistance and forward voltage during transient surge operation. The proposed framework shows strong agreement with the experimental results and provides a reliable tool for surge capability assessment. This approach enhances device modeling accuracy under very-high-current stress and offers valuable insights for electro-thermal design and thermal management in next-generation power semiconductor devices.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2025-12-12
DOI
https://doi.org/10.3390/electronics14244899
Citations
1
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surge Current Analysis of High-Power Press Pack Diodes: Junction Temperature and Forward-Voltage Modeling

Mario Marchesoni, Luis Vaccaro, Federico Portesine, Armel Asongu Nkembi et al.
1 citations
Electronics
Silicon Carbide Semiconductor Technologies
0.73
article

Surge Current Analysis of High-Power Press Pack Diodes: Junction Temperature and Forward-Voltage Modeling

Mario Marchesoni, Luis Vaccaro, Federico Portesine, Armel Asongu Nkembi, Fawad Ahmad
article en
1 citations

Abstract

In recent years, the use of high-power semiconductor devices has seen growing demand across various applications, including data centers, electric vehicles, and traction systems. However, increasing power densities may increase challenges in ensuring the reliability of devices, particularly under high surge currents. These surge events may result in excessive power dissipation and rapid temperature increases, leading to device performance degradation and potential failure. Therefore, accurate temperature estimation is critical. However, existing approaches in the literature are mostly oversimplified and constrained by static I–V characteristics, limiting their accuracy. To encounter these limitations, this article proposes a forward-voltage-based temperature evaluation methodology for high-power diodes subjected to 10 ms surge events. The proposed model integrates rated electrical parameters with thermal simulation data to enable the accurate estimation of dynamic slope resistance and forward voltage during transient surge operation. The proposed framework shows strong agreement with the experimental results and provides a reliable tool for surge capability assessment. This approach enhances device modeling accuracy under very-high-current stress and offers valuable insights for electro-thermal design and thermal management in next-generation power semiconductor devices.

ElectronicsVol. 14(24)
University of Parma (IT), Italian Institute of Technology (IT)
European Social Fund
Openalex Percentile: Top 21%
Silicon Carbide Semiconductor Technologies
0.73
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.