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A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm

Author

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  • Anahita Bagheri

    (School of Electrical Engineering, Iran University of Science and Technology (IUST), Iran Neural Technology Research Centre, Tehran 15614, Iran)

  • Abbas Erfanian

    (School of Electrical Engineering, Iran University of Science and Technology (IUST), Iran Neural Technology Research Centre, Tehran 15614, Iran)

  • Adib Abrishamifar

    (School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran 15614, Iran)

Abstract

This paper presents a systematic methodology for the optimal design of wireless power transfer (WPT) systems. To design a WPT for a specific application, the values of coil geometric parameters and the number of resonators should be chosen such that an objective function is maximized while satisfying all the design constraints. The conventional methodologies, which are based on cyclic coordinate optimization, are not comprehensive and efficient methods. This paper presents a design methodology based on the genetic algorithm (GA). The optimization method has been applied to designing different WPTs with series and parallel connections of load and different design constraints. Moreover, the number of resonators is considered as the design parameters. In addition, WPTs with parallel and series connections of load are compared from different aspects. The results of calculation, simulation and measurements demonstrate that the 2-coil WPT can be optimized to achieve maximum efficiency compared to the previously reported 2-coil and multi-coil WPTs. In a fabricated 2-coil configuration, a power transfer efficiency (PTE) of 82.7% and a power delivered to the load (PDL) of 173.89 mW are achieved.

Suggested Citation

  • Anahita Bagheri & Abbas Erfanian & Adib Abrishamifar, 2020. "A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm," Energies, MDPI, vol. 13(2), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:383-:d:308148
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    Citations

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    Cited by:

    1. Krithikaa Mohanarangam & Yellappa Palagani & Kunhee Cho & Jun-Rim Choi, 2021. "Inductive Power Transfer Link at 13.56 MHz for Leadless Cardiac Pacemakers," Energies, MDPI, vol. 14(17), pages 1-13, September.
    2. Yumeng Lan & Masafumi Miyatake, 2022. "An Attended-Free, All-in-One-Go, Automatic Analysis Assistant Software for E-liked Shape Contactless Inductive Power Transfer Device," Energies, MDPI, vol. 15(17), pages 1-23, August.

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