Design optimization of spiral coils for textile applications by genetic algorithm

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Design optimization of spiral coils for textile applications by genetic algorithm. / Fadhel, Yosra Ben; Bouattour, Ghada; Bouchaala, Dhouha et al.
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 992-997 9429441 (IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021; Vol. 18).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Fadhel, YB, Bouattour, G, Bouchaala, D, Derbel, N & Kanoun, O 2021, Design optimization of spiral coils for textile applications by genetic algorithm. in 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021., 9429441, IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021, vol. 18, Institute of Electrical and Electronics Engineers Inc., pp. 992-997, 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021, Monastir, Tunisia, 22.03.21. https://doi.org/10.1109/SSD52085.2021.9429441

APA

Fadhel, Y. B., Bouattour, G., Bouchaala, D., Derbel, N., & Kanoun, O. (2021). Design optimization of spiral coils for textile applications by genetic algorithm. In 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021 (pp. 992-997). Article 9429441 (IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021; Vol. 18). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSD52085.2021.9429441

Vancouver

Fadhel YB, Bouattour G, Bouchaala D, Derbel N, Kanoun O. Design optimization of spiral coils for textile applications by genetic algorithm. In 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 992-997. 9429441. (IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021). doi: 10.1109/SSD52085.2021.9429441

Bibtex

@inbook{e02f6bdef0e845c88f81c7364a37cff4,
title = "Design optimization of spiral coils for textile applications by genetic algorithm",
abstract = "Resonant inductive coupling (RIC) systems have undergone a remarkable improvement thanks to several research efforts. Nevertheless, practical difficulties and stringent design requirements still present several limitations and challenges to overcome. One of the important concerns is how to design the coils for the desired power level with a high efficiency considering all design constraints and parameters, i.e.The number of turns, the frequency, the air gap, etc. A planar spiral coil can be considered as an inductance connected in series with internal resistance. The coil resistance significantly decreases the power transfer efficiency (PTE) in resonant inductive coupling wireless power transfer (RIC WPT) applications, since it leads to power losses. In this paper, we have suggested a numerical optimization method based on genetic algorithms (GA) that gives the best coil parameters ensuring the highest coil quality factor, by respecting the system design constraints such as the frequency and the used material. In this paper, we propose a model for a silver planar spiral coil and an operating frequency of 100 kHz, following the Qi guidelines. Obtained results show the efficiency of genetic algorithms for giving the optimal solution for designing spiral coils, without the need to simplify the model function.",
keywords = "genetic algorithms (GA), power transfer efficiency (PTE), quality factor, Spiral coils, wireless power transfer (WPT), Engineering",
author = "Fadhel, {Yosra Ben} and Ghada Bouattour and Dhouha Bouchaala and Nabil Derbel and Olfa Kanoun",
note = "Funding Information: ACKNOWLEDGMENT This work has been carried out within the project ”Generic plat form for the Design of Bioimpedance Spectrometer” (BISMON) supported by the German Academic Exchange Service DAAD (Contract number: 57477606). Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021 ; Conference date: 22-03-2021 Through 25-03-2021",
year = "2021",
month = mar,
day = "22",
doi = "10.1109/SSD52085.2021.9429441",
language = "English",
isbn = "978-1-6654-3057-9",
series = "IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "992--997",
booktitle = "18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021",
address = "United States",

}

RIS

TY - CHAP

T1 - Design optimization of spiral coils for textile applications by genetic algorithm

AU - Fadhel, Yosra Ben

AU - Bouattour, Ghada

AU - Bouchaala, Dhouha

AU - Derbel, Nabil

AU - Kanoun, Olfa

N1 - Conference code: 18

PY - 2021/3/22

Y1 - 2021/3/22

N2 - Resonant inductive coupling (RIC) systems have undergone a remarkable improvement thanks to several research efforts. Nevertheless, practical difficulties and stringent design requirements still present several limitations and challenges to overcome. One of the important concerns is how to design the coils for the desired power level with a high efficiency considering all design constraints and parameters, i.e.The number of turns, the frequency, the air gap, etc. A planar spiral coil can be considered as an inductance connected in series with internal resistance. The coil resistance significantly decreases the power transfer efficiency (PTE) in resonant inductive coupling wireless power transfer (RIC WPT) applications, since it leads to power losses. In this paper, we have suggested a numerical optimization method based on genetic algorithms (GA) that gives the best coil parameters ensuring the highest coil quality factor, by respecting the system design constraints such as the frequency and the used material. In this paper, we propose a model for a silver planar spiral coil and an operating frequency of 100 kHz, following the Qi guidelines. Obtained results show the efficiency of genetic algorithms for giving the optimal solution for designing spiral coils, without the need to simplify the model function.

AB - Resonant inductive coupling (RIC) systems have undergone a remarkable improvement thanks to several research efforts. Nevertheless, practical difficulties and stringent design requirements still present several limitations and challenges to overcome. One of the important concerns is how to design the coils for the desired power level with a high efficiency considering all design constraints and parameters, i.e.The number of turns, the frequency, the air gap, etc. A planar spiral coil can be considered as an inductance connected in series with internal resistance. The coil resistance significantly decreases the power transfer efficiency (PTE) in resonant inductive coupling wireless power transfer (RIC WPT) applications, since it leads to power losses. In this paper, we have suggested a numerical optimization method based on genetic algorithms (GA) that gives the best coil parameters ensuring the highest coil quality factor, by respecting the system design constraints such as the frequency and the used material. In this paper, we propose a model for a silver planar spiral coil and an operating frequency of 100 kHz, following the Qi guidelines. Obtained results show the efficiency of genetic algorithms for giving the optimal solution for designing spiral coils, without the need to simplify the model function.

KW - genetic algorithms (GA)

KW - power transfer efficiency (PTE)

KW - quality factor

KW - Spiral coils

KW - wireless power transfer (WPT)

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85107474833&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c458a829-e039-3139-afc3-7ae20bb6fa87/

U2 - 10.1109/SSD52085.2021.9429441

DO - 10.1109/SSD52085.2021.9429441

M3 - Article in conference proceedings

AN - SCOPUS:85107474833

SN - 978-1-6654-3057-9

T3 - IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

SP - 992

EP - 997

BT - 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

Y2 - 22 March 2021 through 25 March 2021

ER -

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