Design optimization of spiral coils for textile applications by genetic algorithm
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021. Institute of Electrical and Electronics Engineers Inc., 2021. S. 992-997 9429441 (IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021; Band 18).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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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 -