Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors

Olcay Bay; Farzad Hosseinabadi; Sajib Chakraborty; Mohamed El Baghdadi; Omar Hegazy

doi:10.1109/IECON49645.2022.9968522

Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors

Olcay Bay, Farzad Hosseinabadi, Sajib Chakraborty, Mohamed El Baghdadi, Omar Hegazy

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

5 Citations (Scopus)

Abstract

High voltage GaN power transistors can significantly improve the key performance indices of a power electronic converter in terms of efficiency, reliability and power density. This brings a potentiality for widespread adoption of these semiconductors in e-mobility applications such as on-board chargers (OBCs) in electric vehicles. According to literature surveys, among all semiconductor technologies GaN-based high-electron-mobility transistors (HEMTs) devices are utilized to design compact, efficient and reliable OBCs. In this paper, a component-level (i.e., switch, capacitor and magnetics) optimization model is proposed based on Multi-objective Genetic Algorithm (MOGA) technique to assess the relationship between size (cm3), losses (W), and reliability (number of cycles) of the components used in OBCs. Besides, electrical circuit models establishing the relationship between these components for a dual-stage OBC architecture are presented. Finally, Pareto-front solutions for these components under the worst-case operation scenario are presented for the components used in the AC-DC stage of a bidirectional phase-modular three-phase OBC with a rated power of 11 kW.

Original language	English
Title of host publication	IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-6654-8025-3
ISBN (Print)	978-1-6654-8026-0
DOIs	https://doi.org/10.1109/IECON49645.2022.9968522
Publication status	Published - 9 Dec 2022
Event	48th Annual Conference of the IEEE Industrial Electronics Society IECON 2022 : Conference session- Power Electronics & Energy Conversion - Brussels, Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022 https://iecon2022.org/conference-program/

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2022-October

Conference

Conference	48th Annual Conference of the IEEE Industrial Electronics Society IECON 2022
Abbreviated title	IECON2022
Country/Territory	Belgium
City	Brussels
Period	17/10/22 → 20/10/22
Internet address	https://iecon2022.org/conference-program/

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

Access to Document

10.1109/IECON49645.2022.9968522

https://ieeexplore.ieee.org/document/9968522

Cite this

Bay, O., Hosseinabadi, F., Chakraborty, S., El Baghdadi, M., & Hegazy, O. (2022). Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society (IECON Proceedings (Industrial Electronics Conference); Vol. 2022-October). IEEE. https://doi.org/10.1109/IECON49645.2022.9968522

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title = "Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors",

abstract = "High voltage GaN power transistors can significantly improve the key performance indices of a power electronic converter in terms of efficiency, reliability and power density. This brings a potentiality for widespread adoption of these semiconductors in e-mobility applications such as on-board chargers (OBCs) in electric vehicles. According to literature surveys, among all semiconductor technologies GaN-based high-electron-mobility transistors (HEMTs) devices are utilized to design compact, efficient and reliable OBCs. In this paper, a component-level (i.e., switch, capacitor and magnetics) optimization model is proposed based on Multi-objective Genetic Algorithm (MOGA) technique to assess the relationship between size (cm3), losses (W), and reliability (number of cycles) of the components used in OBCs. Besides, electrical circuit models establishing the relationship between these components for a dual-stage OBC architecture are presented. Finally, Pareto-front solutions for these components under the worst-case operation scenario are presented for the components used in the AC-DC stage of a bidirectional phase-modular three-phase OBC with a rated power of 11 kW.",

author = "Olcay Bay and Farzad Hosseinabadi and Sajib Chakraborty and {El Baghdadi}, Mohamed and Omar Hegazy",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 48th Annual Conference of the IEEE Industrial Electronics Society<br/>IECON 2022 : Conference session- Power Electronics & Energy Conversion, IECON2022 ; Conference date: 17-10-2022 Through 20-10-2022",

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Bay, O , Hosseinabadi, F , Chakraborty, S , El Baghdadi, M & Hegazy, O 2022, Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors. in IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE, 48th Annual Conference of the IEEE Industrial Electronics Society
IECON 2022 , Brussels, Belgium, 17/10/22. https://doi.org/10.1109/IECON49645.2022.9968522

Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors. / Bay, Olcay ; Hosseinabadi, Farzad ; Chakraborty, Sajib ; El Baghdadi, Mohamed ; Hegazy, Omar.

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2022. (IECON Proceedings (Industrial Electronics Conference); Vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

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T1 - Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors

AU - Bay, Olcay

AU - Hosseinabadi, Farzad

AU - Chakraborty, Sajib

AU - El Baghdadi, Mohamed

AU - Hegazy, Omar

PY - 2022/12/9

Y1 - 2022/12/9

N2 - High voltage GaN power transistors can significantly improve the key performance indices of a power electronic converter in terms of efficiency, reliability and power density. This brings a potentiality for widespread adoption of these semiconductors in e-mobility applications such as on-board chargers (OBCs) in electric vehicles. According to literature surveys, among all semiconductor technologies GaN-based high-electron-mobility transistors (HEMTs) devices are utilized to design compact, efficient and reliable OBCs. In this paper, a component-level (i.e., switch, capacitor and magnetics) optimization model is proposed based on Multi-objective Genetic Algorithm (MOGA) technique to assess the relationship between size (cm3), losses (W), and reliability (number of cycles) of the components used in OBCs. Besides, electrical circuit models establishing the relationship between these components for a dual-stage OBC architecture are presented. Finally, Pareto-front solutions for these components under the worst-case operation scenario are presented for the components used in the AC-DC stage of a bidirectional phase-modular three-phase OBC with a rated power of 11 kW.

AB - High voltage GaN power transistors can significantly improve the key performance indices of a power electronic converter in terms of efficiency, reliability and power density. This brings a potentiality for widespread adoption of these semiconductors in e-mobility applications such as on-board chargers (OBCs) in electric vehicles. According to literature surveys, among all semiconductor technologies GaN-based high-electron-mobility transistors (HEMTs) devices are utilized to design compact, efficient and reliable OBCs. In this paper, a component-level (i.e., switch, capacitor and magnetics) optimization model is proposed based on Multi-objective Genetic Algorithm (MOGA) technique to assess the relationship between size (cm3), losses (W), and reliability (number of cycles) of the components used in OBCs. Besides, electrical circuit models establishing the relationship between these components for a dual-stage OBC architecture are presented. Finally, Pareto-front solutions for these components under the worst-case operation scenario are presented for the components used in the AC-DC stage of a bidirectional phase-modular three-phase OBC with a rated power of 11 kW.

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DO - 10.1109/IECON49645.2022.9968522

M3 - Conference paper

SN - 978-1-6654-8026-0

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE

T2 - 48th Annual Conference of the IEEE Industrial Electronics Society<br/>IECON 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors

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