A wireless power transfer system with optimized circuit parameters using genetic algorithm

Mumin Abu Hassan; Nayef Hailat; Noor Badawi; Ala A. Hussein

doi:10.1109/IREC.2017.7926021

A wireless power transfer system with optimized circuit parameters using genetic algorithm

Mumin Abu Hassan
, Nayef Hailat
, Noor Badawi
, Ala A. Hussein

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

6 Citations (Scopus)

Abstract

Wireless power transfer has a major limitation due to its poor efficiency in general. In order to obtain the highest possible efficiency, the design of the circuit must be optimized. This paper presents a wireless power transfer system that allows transferring power between two coils efficiently. A genetic algorithm (GA) is used to optimize a number of parameters through the design phase of the system. Theoretical analysis followed with optimization procedure and simulation results are presented in this paper.

Original language	English
Title of host publication	2017 8th International Renewable Energy Congress, IREC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509067503
DOIs	https://doi.org/10.1109/IREC.2017.7926021
Publication status	Published - May 10 2017
Externally published	Yes
Event	8th International Renewable Energy Congress, IREC 2017 - Amman, Jordan Duration: Mar 21 2017 → Mar 23 2017

Publication series

Name	2017 8th International Renewable Energy Congress, IREC 2017

Other

Other	8th International Renewable Energy Congress, IREC 2017
Country/Territory	Jordan
City	Amman
Period	3/21/17 → 3/23/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Wireless power transfer (WPT)
band pass filter (BPF)
coupling coefficient
genetic algorithm (GA)
inverter
magnetic induction (MI)
optimization

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Fuel Technology
Control and Systems Engineering
Energy Engineering and Power Technology

Access to Document

10.1109/IREC.2017.7926021

Cite this

Hassan, M. A., Hailat, N., Badawi, N., & Hussein, A. A. (2017). A wireless power transfer system with optimized circuit parameters using genetic algorithm. In 2017 8th International Renewable Energy Congress, IREC 2017 Article 7926021 (2017 8th International Renewable Energy Congress, IREC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IREC.2017.7926021

A wireless power transfer system with optimized circuit parameters using genetic algorithm. / Hassan, Mumin Abu; Hailat, Nayef; Badawi, Noor et al.
2017 8th International Renewable Energy Congress, IREC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7926021 (2017 8th International Renewable Energy Congress, IREC 2017).

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

Hassan, MA, Hailat, N, Badawi, N & Hussein, AA 2017, A wireless power transfer system with optimized circuit parameters using genetic algorithm. in 2017 8th International Renewable Energy Congress, IREC 2017., 7926021, 2017 8th International Renewable Energy Congress, IREC 2017, Institute of Electrical and Electronics Engineers Inc., 8th International Renewable Energy Congress, IREC 2017, Amman, Jordan, 3/21/17. https://doi.org/10.1109/IREC.2017.7926021

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title = "A wireless power transfer system with optimized circuit parameters using genetic algorithm",

abstract = "Wireless power transfer has a major limitation due to its poor efficiency in general. In order to obtain the highest possible efficiency, the design of the circuit must be optimized. This paper presents a wireless power transfer system that allows transferring power between two coils efficiently. A genetic algorithm (GA) is used to optimize a number of parameters through the design phase of the system. Theoretical analysis followed with optimization procedure and simulation results are presented in this paper.",

keywords = "Wireless power transfer (WPT), band pass filter (BPF), coupling coefficient, genetic algorithm (GA), inverter, magnetic induction (MI), optimization",

author = "Hassan, \{Mumin Abu\} and Nayef Hailat and Noor Badawi and Hussein, \{Ala A.\}",

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AU - Badawi, Noor

AU - Hussein, Ala A.

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N2 - Wireless power transfer has a major limitation due to its poor efficiency in general. In order to obtain the highest possible efficiency, the design of the circuit must be optimized. This paper presents a wireless power transfer system that allows transferring power between two coils efficiently. A genetic algorithm (GA) is used to optimize a number of parameters through the design phase of the system. Theoretical analysis followed with optimization procedure and simulation results are presented in this paper.

AB - Wireless power transfer has a major limitation due to its poor efficiency in general. In order to obtain the highest possible efficiency, the design of the circuit must be optimized. This paper presents a wireless power transfer system that allows transferring power between two coils efficiently. A genetic algorithm (GA) is used to optimize a number of parameters through the design phase of the system. Theoretical analysis followed with optimization procedure and simulation results are presented in this paper.

KW - Wireless power transfer (WPT)

KW - band pass filter (BPF)

KW - coupling coefficient

KW - genetic algorithm (GA)

KW - inverter

KW - magnetic induction (MI)

KW - optimization

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M3 - Conference contribution

AN - SCOPUS:85020306077

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BT - 2017 8th International Renewable Energy Congress, IREC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Renewable Energy Congress, IREC 2017

Y2 - 21 March 2017 through 23 March 2017

ER -

A wireless power transfer system with optimized circuit parameters using genetic algorithm

Abstract

Publication series

Other

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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