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New Insight of Maximum Transferred Power by Matching Capacitance of a Wireless Power Transfer System

Author

Listed:
  • Chunyan Xiao

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Yufeng Liu

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Dingning Cheng

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Kangzheng Wei

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

Abstract

Most research on wireless power transfer (WPT) has been focused on how to achieve a high-efficiency power transfer. Our study found that under the impedance matching for achieving maximum WPT efficiency, the power transferred to the load cannot reach the maximum when a WPT system is supplied by an AC voltage source with constant amplitude. However, the load power or the voltage across the load is essential for a low-power electric device such as the implanted medical device where the transfer efficiency is not the priority to be considered. The paper presents a method for achieving maximum power on the load by matching capacitance in a WPT system with given two-coupled-coils. Three sets of matching capacitances for extreme load power were deduced based on the circuit model considering the coil's resistance, and all these three matching make the WPT system operate at the resonant state. Two sets can make the system achieve the global maximum of load power. One set can make the system achieve the local maximum of load power and reach the power transfer efficiency next to 1. Experimental results verified the theoretical calculations. The results can contribute to the compensation design of a practical WPT system for transferring the maximum power to the load.

Suggested Citation

  • Chunyan Xiao & Yufeng Liu & Dingning Cheng & Kangzheng Wei, 2017. "New Insight of Maximum Transferred Power by Matching Capacitance of a Wireless Power Transfer System," Energies, MDPI, vol. 10(5), pages 1-11, May.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:688-:d:98552
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    Citations

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    Cited by:

    1. Xin Dai & Xiaofei Li & Yanling Li & Pengqi Deng & Chunsen Tang, 2017. "A Maximum Power Transfer Tracking Method for WPT Systems with Coupling Coefficient Identification Considering Two-Value Problem," Energies, MDPI, vol. 10(10), pages 1-13, October.
    2. Narayanamoorthi R. & Vimala Juliet A. & Bharatiraja Chokkalingam & Sanjeevikumar Padmanaban & Zbigniew M. Leonowicz, 2017. "Class E Power Amplifier Design and Optimization for the Capacitive Coupled Wireless Power Transfer System in Biomedical Implants," Energies, MDPI, vol. 10(9), pages 1-20, September.
    3. Yanting Luo & Yongmin Yang & Xisen Wen & Ming Cheng, 2018. "Enhancing the Robustness of the Wireless Power Transfer System to Uncertain Parameter Variations Using an Interval-Based Uncertain Optimization Method," Energies, MDPI, vol. 11(8), pages 1-18, August.
    4. Alicia Triviño-Cabrera & Zhengyu Lin & José A. Aguado, 2018. "Impact of Coil Misalignment in Data Transmission over the Inductive Link of an EV Wireless Charger," Energies, MDPI, vol. 11(3), pages 1-11, March.
    5. Li Zhai & Yu Cao & Liwen Lin & Tao Zhang & Steven Kavuma, 2018. "Mitigation Conducted Emission Strategy Based on Transfer Function from a DC-Fed Wireless Charging System for Electric Vehicles," Energies, MDPI, vol. 11(3), pages 1-17, February.

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