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author:

Chen, Wei (Chen, Wei.) [1] | Zheng, Yingyao (Zheng, Yingyao.) [2] | Zhou, Yicheng (Zhou, Yicheng.) [3] | Xie, Ronghuan (Xie, Ronghuan.) [4] | Zhuang, Yizhan (Zhuang, Yizhan.) [5] | Chen, Xiaoying (Chen, Xiaoying.) [6] | Cheng, Xiangpeng (Cheng, Xiangpeng.) [7] | Mao, Xingkui (Mao, Xingkui.) [8] | Zhang, Yiming (Zhang, Yiming.) [9]

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EI

Abstract:

In some applications of wireless power transfer, the magnetic coupling between the transmitter and the receiver can be enhanced to increase the transmission efficiency. And due to the strong coupling, the receiver compensation can be eliminated, resulting in a compact receiver size. In this way, a series-none (S N) topology is formed. In this paper, a parameter identification method for the S-N topology is proposed. The identifications of the mutual inductance and the load resistance are realized by the inverter output voltage, current, and the input impedance angle. To validate the parameter estimation accuracy, an S-N topology WPT prototype was conducted. The experimental results show that the maximum errors of the mutual inductance and load identification are 0.4% and 2.23%, respectively, under the system resonance condition. © 2025 IEEE.

Keyword:

Energy transfer Inductance Inductive power transmission Magnetic couplings Parameter estimation Topology

Community:

  • [ 1 ] [Chen, Wei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zheng, Yingyao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [Zhou, Yicheng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Xie, Ronghuan]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 5 ] [Zhuang, Yizhan]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 6 ] [Chen, Xiaoying]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 7 ] [Cheng, Xiangpeng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 8 ] [Mao, Xingkui]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 9 ] [Zhang, Yiming]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

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ISSN: 2164-5256

Year: 2025

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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