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Magnetic Coupler Optimization for Inductive Power Transfer System of Unmanned Aerial Vehicles

Author

Listed:
  • Xiaokun Li

    (School of Engineering and Built Environment, Griffith University, Nathan, QLD 4111, Australia)

  • Junwei Lu

    (School of Engineering and Built Environment, Griffith University, Nathan, QLD 4111, Australia)

  • Sascha Stegen

    (School of Engineering and Built Environment, Griffith University, Nathan, QLD 4111, Australia)

Abstract

Unmanned aerial vehicles (UAVs) have been widely used in military and civilian applications. However, the insufficient cruising range restricts the development of UAVs due to the limitation of their battery. Inductive power transfer (IPT) is an effective way to charge the battery and solve this problem. Magnetic coupler is a key component of the IPT system, which greatly affects the power transfer and efficiency of the IPT. This paper proposes a new magnetic coupler with vertical spiral coils and ferrite PQI cores for the IPT system of UAVs, which can enhance the magnetic coupling and improve the performance of the IPT system. Finite element simulations are used to investigate the magnetic field distribution and coupling capability of the proposed magnetic coupler. In addition, an experimental platform is built to prove the validity of the IPT system using the proposed magnetic coupler. The results show that the coupling coefficient can reach 0.98, and the system transfer efficiency is 89.27% with an output power of 93 W. The IPT system also has a perfect misalignment tolerance and can achieve a stable output power.

Suggested Citation

  • Xiaokun Li & Junwei Lu & Sascha Stegen, 2021. "Magnetic Coupler Optimization for Inductive Power Transfer System of Unmanned Aerial Vehicles," Energies, MDPI, vol. 14(21), pages 1-15, October.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7024-:d:665509
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    References listed on IDEAS

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    1. Chaoqiang Jiang & K. T. Chau & Chunhua Liu & Christopher H. T. Lee, 2017. "An Overview of Resonant Circuits for Wireless Power Transfer," Energies, MDPI, vol. 10(7), pages 1-20, June.
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    Cited by:

    1. Liu, Wei & Chau, K.T. & Tian, Xiaoyang & Wang, Hui & Hua, Zhichao, 2023. "Smart wireless power transfer — opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).

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