Critical Analysis of Intersection-Point-Based Techniques for the Experimental Indirect Determination of Thermal Resistance in Bipolar Transistors

This paper critically reviews techniques for the experimental extraction of thermal resistance in bipolar transistors from simple DC current/voltage measurements at various backside temperatures (indirect approach). More specifically, the study focuses on methods relying on intersection points between characteristics. The techniques are applied to I-V curves obtained through PSpice simulations of an in-house transistor model incorporating nonlinear thermal effects, and their accuracy is assessed by comparing the extracted thermal resistance data with the reference formulation embedded in the model.

Authors

Institutions

Publication Details

Published
2025-09-24
DOI
https://doi.org/10.1109/therminic65879.2025.11216907
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

Critical Analysis of Intersection-Point-Based Techniques for the Experimental Indirect Determination of Thermal Resistance in Bipolar Transistors

Lorenzo Codecasa, Vincenzo d’Alessandro, Ciro Scognamillo, Antonio Pio Catalano
Silicon Carbide Semiconductor Technologies
article

Critical Analysis of Intersection-Point-Based Techniques for the Experimental Indirect Determination of Thermal Resistance in Bipolar Transistors

Lorenzo Codecasa, Vincenzo d’Alessandro, Ciro Scognamillo, Antonio Pio Catalano
article en

Abstract

This paper critically reviews techniques for the experimental extraction of thermal resistance in bipolar transistors from simple DC current/voltage measurements at various backside temperatures (indirect approach). More specifically, the study focuses on methods relying on intersection points between characteristics. The techniques are applied to I-V curves obtained through PSpice simulations of an in-house transistor model incorporating nonlinear thermal effects, and their accuracy is assessed by comparing the extracted thermal resistance data with the reference formulation embedded in the model.

Federico II University Hospital (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 68%
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.