학술논문

A Thermal Network Model for Multichip Power Modules Enabling to Characterize the Thermal Coupling Effects
Document Type
Periodical
Source
IEEE Transactions on Power Electronics IEEE Trans. Power Electron. Power Electronics, IEEE Transactions on. 39(5):6225-6245 May, 2024
Subject
Power, Energy and Industry Applications
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Signal Processing and Analysis
Transportation
Thermal analysis
Insulated gate bipolar transistors
Multichip modules
Computational modeling
Analytical models
Thermal resistance
Numerical models
Cauer model
multichip power modules
thermal analysis
thermal coupling effects
thermal network model (TNM)
Language
ISSN
0885-8993
1941-0107
Abstract
A proper thermal network model (TNM) facilitates the thermal analysis of multichip power modules and is beneficial to the reliability evaluation of power converters. However, many TNMs are struggling to provide the accurate thermal analysis while maintaining acceptable computational efficiency. To address this, a TNM based on the Cauer model is proposed in this article, where the Cauer model is obtained with the assistance of the structure function. Then, the thermal coupling effects in multichip power modules are fully characterized. More specifically, the thermal coupling in the proposed TNM is equivalent to the injected power losses from the specific nodes, and an enumeration method is accordingly used to identify the injected nodes and the injected power losses. Moreover, a discretization approach based on the forward Euler method is implemented to enhance the computational efficiency. Subsequently, the junction temperature of the multichip power module is estimated through the signal-flow graph method. Finally, the proposed TNM uses the typical insulated-gate bipolar transistor modules as a case study, and extensive simulations and experimental tests are conducted to validate the effectiveness of the proposed TNM.