Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters

Hannes Byden; Eric Bourniche; Gabriel Domingues; Mats Alakula; Arnaud Leblay; Fran Marquez

doi:10.1109/ITEC55900.2023.10187060

Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters

Hannes Byden, Eric Bourniche, Gabriel Domingues, Mats Alakula, Arnaud Leblay, Fran Marquez

BorgWarner Inc.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350397420
DOIs	https://doi.org/10.1109/ITEC55900.2023.10187060
Publication status	Published - 2023
Event	2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 - Detroit, United States Duration: 2023 Jun 21 → 2023 Jun 23

Conference

Conference	2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
Country/Territory	United States
City	Detroit
Period	2023/06/21 → 2023/06/23

Subject classification (UKÄ)

Other Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

Optimzation
power module
scalable model
thermal model

Access to Document

10.1109/ITEC55900.2023.10187060

Cite this

@inproceedings{4ab74c1e9df64f27824b50ade9b1db24,

title = "Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters",

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.",

keywords = "Optimzation, power module, scalable model, thermal model",

author = "Hannes Byden and Eric Bourniche and Gabriel Domingues and Mats Alakula and Arnaud Leblay and Fran Marquez",

year = "2023",

doi = "10.1109/ITEC55900.2023.10187060",

language = "English",

booktitle = "2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 ; Conference date: 21-06-2023 Through 23-06-2023",

}

Byden, H, Bourniche, E, Domingues, G , Alakula, M, Leblay, A & Marquez, F 2023, Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters. in 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023. IEEE - Institute of Electrical and Electronics Engineers Inc., 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023, Detroit, United States, 2023/06/21. https://doi.org/10.1109/ITEC55900.2023.10187060

Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters. / Byden, Hannes; Bourniche, Eric; Domingues, Gabriel et al.
2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023. IEEE - Institute of Electrical and Electronics Engineers Inc., 2023.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters

AU - Byden, Hannes

AU - Bourniche, Eric

AU - Domingues, Gabriel

AU - Alakula, Mats

AU - Leblay, Arnaud

AU - Marquez, Fran

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Optimzation

KW - power module

KW - scalable model

KW - thermal model

U2 - 10.1109/ITEC55900.2023.10187060

DO - 10.1109/ITEC55900.2023.10187060

M3 - Paper in conference proceeding

AN - SCOPUS:85168241667

BT - 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023

Y2 - 21 June 2023 through 23 June 2023

ER -

Electro-thermal Models of Power Modules for Stochastic Optimization of Inverters

Abstract

Conference

Subject classification (UKÄ)

Free keywords

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Cite this