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

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

18 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2015 IEEE Wireless Power Transfer Conference, WPTC 2015
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781467374477
DOI'lar	https://doi.org/10.1109/WPT.2015.7139138
Yayın durumu	Yayınlandı - 29 Haz 2015
Harici olarak yayınlandı	Evet
Etkinlik	2015 IEEE Wireless Power Transfer Conference, WPTC 2015 - Boulder, United States Süre: 13 May 2015 → 15 May 2015

Yayın serisi

Adı	2015 IEEE Wireless Power Transfer Conference, WPTC 2015

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2015 IEEE Wireless Power Transfer Conference, WPTC 2015
Ülke/Bölge	United States
Şehir	Boulder
Periyot	13/05/15 → 15/05/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Belgeye Erişim

10.1109/WPT.2015.7139138

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 Makale 7139138 (2015 IEEE Wireless Power Transfer Conference, WPTC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WPT.2015.7139138

@inproceedings{20ba0ffaad72409e944ad54b243f54b6,

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.",

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

address = "United States",

}

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).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

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

UR - http://www.scopus.com/inward/record.url?scp=84942931157&partnerID=8YFLogxK

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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