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Fused Helico-Spiral Coil Design Using Both Neural Network and Generic Algorithms

研究成果: Conference contribution

1   !!Link opens in a new tab 引文 斯高帕斯(Scopus)

摘要

Fused helical and spiral (FHS) coils are proposed to improve the efficiency of wireless power transfer by using both neural network and generic algorithms. FHS coils take advantages of balancing the coupling coefficient and the quality factor. Moreover, neural network and generic algorithm are applied to optimize the structure and parameters of the FHS coils with variable pitches. From simulation, the proposed 3.25-mm FHS coil structure consists of three layers of 15 turns. The pitches of three layers are 0.075, 0.225, 0.3 mm, respectively. Due to more condensed magnetic field distribution, the power transmission efficiency is improved to 24% compared with traditional signal turn coil at distance of 20 mm.

原文English
主出版物標題2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2537-2538
頁數2
ISBN(電子)9781538671023
DOIs
出版狀態Published - 2018
事件2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Boston, United States
持續時間: 2018 7月 82018 7月 13

出版系列

名字2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings

Conference

Conference2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018
國家/地區United States
城市Boston
期間18-07-0818-07-13

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 儀器
  • 輻射

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