Multi-objective particle swarm optimization applied to the design of Wireless Power Transfer systems

Nazmul Hasan; Tuba Yilmaz; Regan Zane; Zeljko Pantic

doi:10.1109/WPT.2015.7139138

Multi-objective particle swarm optimization applied to the design of Wireless Power Transfer systems

Nazmul Hasan, Tuba Yilmaz, Regan Zane, Zeljko Pantic

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

18 Citations (Scopus)

Abstract

This paper proposes a stochastic method - particle swarm optimization (PSO) and Pareto front technique, to conduct a multivariable optimization and design an inductively coupled power transfer system. Previously, design methods have been proposed which require designer experience; they are not only computationally challenging, but also frequently result in suboptimum solutions. The algorithm proposed in this paper models all losses and inductance matrix analytically. We study four common compensation structures, and select a series-parallel topology to design a 200 W experimental prototype optimized with respect to transfer efficiency and VA rating. Experiments and numerical simulations are employed to verify the optimization algorithm.

Original language	English
Title of host publication	2015 IEEE Wireless Power Transfer Conference, WPTC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467374477
DOIs	https://doi.org/10.1109/WPT.2015.7139138
Publication status	Published - 29 Jun 2015
Externally published	Yes
Event	2015 IEEE Wireless Power Transfer Conference, WPTC 2015 - Boulder, United States Duration: 13 May 2015 → 15 May 2015

Publication series

Name	2015 IEEE Wireless Power Transfer Conference, WPTC 2015

Conference

Conference	2015 IEEE Wireless Power Transfer Conference, WPTC 2015
Country/Territory	United States
City	Boulder
Period	13/05/15 → 15/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Electric vehicles
Inductive charging
Inductive power transmission
Pareto optimization
Particle swarm optimization

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10.1109/WPT.2015.7139138

Cite this

Hasan, N., Yilmaz, T., Zane, R., & Pantic, Z. (2015). Multi-objective particle swarm optimization applied to the design of Wireless Power Transfer systems. In 2015 IEEE Wireless Power Transfer Conference, WPTC 2015 Article 7139138 (2015 IEEE Wireless Power Transfer Conference, WPTC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WPT.2015.7139138

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title = "Multi-objective particle swarm optimization applied to the design of Wireless Power Transfer systems",

abstract = "This paper proposes a stochastic method - particle swarm optimization (PSO) and Pareto front technique, to conduct a multivariable optimization and design an inductively coupled power transfer system. Previously, design methods have been proposed which require designer experience; they are not only computationally challenging, but also frequently result in suboptimum solutions. The algorithm proposed in this paper models all losses and inductance matrix analytically. We study four common compensation structures, and select a series-parallel topology to design a 200 W experimental prototype optimized with respect to transfer efficiency and VA rating. Experiments and numerical simulations are employed to verify the optimization algorithm.",

keywords = "Electric vehicles, Inductive charging, Inductive power transmission, Pareto optimization, Particle swarm optimization",

author = "Nazmul Hasan and Tuba Yilmaz and Regan Zane and Zeljko Pantic",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE Wireless Power Transfer Conference, WPTC 2015 ; Conference date: 13-05-2015 Through 15-05-2015",

year = "2015",

month = jun,

day = "29",

doi = "10.1109/WPT.2015.7139138",

language = "English",

series = "2015 IEEE Wireless Power Transfer Conference, WPTC 2015",

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

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Hasan, N, Yilmaz, T, Zane, R & Pantic, Z 2015, Multi-objective particle swarm optimization applied to the design of Wireless Power Transfer systems. in 2015 IEEE Wireless Power Transfer Conference, WPTC 2015., 7139138, 2015 IEEE Wireless Power Transfer Conference, WPTC 2015, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE Wireless Power Transfer Conference, WPTC 2015, Boulder, United States, 13/05/15. https://doi.org/10.1109/WPT.2015.7139138

Multi-objective particle swarm optimization applied to the design of Wireless Power Transfer systems. / Hasan, Nazmul; Yilmaz, Tuba; Zane, Regan et al.
2015 IEEE Wireless Power Transfer Conference, WPTC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7139138 (2015 IEEE Wireless Power Transfer Conference, WPTC 2015).

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

TY - GEN

T1 - Multi-objective particle swarm optimization applied to the design of Wireless Power Transfer systems

AU - Hasan, Nazmul

AU - Yilmaz, Tuba

AU - Zane, Regan

AU - Pantic, Zeljko

PY - 2015/6/29

Y1 - 2015/6/29

N2 - This paper proposes a stochastic method - particle swarm optimization (PSO) and Pareto front technique, to conduct a multivariable optimization and design an inductively coupled power transfer system. Previously, design methods have been proposed which require designer experience; they are not only computationally challenging, but also frequently result in suboptimum solutions. The algorithm proposed in this paper models all losses and inductance matrix analytically. We study four common compensation structures, and select a series-parallel topology to design a 200 W experimental prototype optimized with respect to transfer efficiency and VA rating. Experiments and numerical simulations are employed to verify the optimization algorithm.

AB - This paper proposes a stochastic method - particle swarm optimization (PSO) and Pareto front technique, to conduct a multivariable optimization and design an inductively coupled power transfer system. Previously, design methods have been proposed which require designer experience; they are not only computationally challenging, but also frequently result in suboptimum solutions. The algorithm proposed in this paper models all losses and inductance matrix analytically. We study four common compensation structures, and select a series-parallel topology to design a 200 W experimental prototype optimized with respect to transfer efficiency and VA rating. Experiments and numerical simulations are employed to verify the optimization algorithm.

KW - Electric vehicles

KW - Inductive charging

KW - Inductive power transmission

KW - Pareto optimization

KW - Particle swarm optimization

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U2 - 10.1109/WPT.2015.7139138

DO - 10.1109/WPT.2015.7139138

M3 - Conference contribution

AN - SCOPUS:84942931157

T3 - 2015 IEEE Wireless Power Transfer Conference, WPTC 2015

BT - 2015 IEEE Wireless Power Transfer Conference, WPTC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE Wireless Power Transfer Conference, WPTC 2015

Y2 - 13 May 2015 through 15 May 2015

ER -

Multi-objective particle swarm optimization applied to the design of Wireless Power Transfer systems

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Keywords

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