Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters
(2023) 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023- Abstract
Stochastic optimization methods are commonly used in the design process of power electronic systems. These require models of crucial parts of the system which are both scalable and computationally efficient. This paper presents thermal models for traction inverter power modules based on scalable chip area that provide high speed of execution and accuracy. The thermal model includes chip-chip interaction, heat spreading and the effects of chip density inside the package.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4ab74c1e-9df6-4f27-824b-50ade9b1db24
- author
- Byden, Hannes LU ; Bourniche, Eric ; Domingues, Gabriel LU ; Alakula, Mats LU ; Leblay, Arnaud and Marquez, Fran LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Optimzation, power module, scalable model, thermal model
- host publication
- 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
- conference location
- Detroit, United States
- conference dates
- 2023-06-21 - 2023-06-23
- external identifiers
-
- scopus:85168241667
- ISBN
- 9798350397420
- DOI
- 10.1109/ITEC55900.2023.10187060
- language
- English
- LU publication?
- yes
- id
- 4ab74c1e-9df6-4f27-824b-50ade9b1db24
- date added to LUP
- 2023-11-13 13:11:04
- date last changed
- 2023-11-21 10:02:19
@inproceedings{4ab74c1e-9df6-4f27-824b-50ade9b1db24, abstract = {{<p>Stochastic optimization methods are commonly used in the design process of power electronic systems. These require models of crucial parts of the system which are both scalable and computationally efficient. This paper presents thermal models for traction inverter power modules based on scalable chip area that provide high speed of execution and accuracy. The thermal model includes chip-chip interaction, heat spreading and the effects of chip density inside the package.</p>}}, author = {{Byden, Hannes and Bourniche, Eric and Domingues, Gabriel and Alakula, Mats and Leblay, Arnaud and Marquez, Fran}}, booktitle = {{2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023}}, isbn = {{9798350397420}}, keywords = {{Optimzation; power module; scalable model; thermal model}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters}}, url = {{http://dx.doi.org/10.1109/ITEC55900.2023.10187060}}, doi = {{10.1109/ITEC55900.2023.10187060}}, year = {{2023}}, }