The Principles of Wireless Power Transfer for Drones and Optimization of Wireless Charging Efficiency

Sihan Zhu

doi:10.54254/2755-2721/2025.23008

Research Article

Open access

Published on 15 May 2025

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Zhu,S. (2025). The Principles of Wireless Power Transfer for Drones and Optimization of Wireless Charging Efficiency. Applied and Computational Engineering,152,23-28.

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The Principles of Wireless Power Transfer for Drones and Optimization of Wireless Charging Efficiency

Sihan Zhu *^,1,

¹ Chongqing University, Chongqing, China, 401331

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.23008

Abstract

In September 2020, the Chinese government pledged at the 75th United Nations General Assembly to achieve peak carbon emissions before 2030 and carbon neutrality before 2060. As the nation advances its carbon peaking and carbon neutrality goals, the demand for technologies supporting green and low-carbon transitions has surged, particularly in high-energy-consuming sectors like power inspection. Traditional manual inspection methods are struggling to meet the operational and maintenance demands of modern smart grids due to limitations such as low efficiency, high operational risks, and incomplete inspection coverage. While unmanned aerial vehicle (UAV) inspection offers significant advantages, its limited flight time remains a major challenge to its widespread adoption. This paper focuses on analyzing and optimizing the endurance of UAVs in power line inspection based on wireless power transfer (WPT) technology. The aim is to provide a more efficient charging solution for UAVs by proposing strategies to maximize channel gain, thereby overcoming endurance limitations and promoting the extensive application of UAV technology in smart grid inspection to support the national strategy for green and low-carbon transition.

Keywords

Unmanned Aerial Vehicle, Wireless Power Transfer, Energy Transfer Efficiency

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References

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Cite this article

Zhu,S. (2025). The Principles of Wireless Power Transfer for Drones and Optimization of Wireless Charging Efficiency. Applied and Computational Engineering,152,23-28.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Software Engineering and Machine Learning

Conference website: https://2025.confseml.org/

ISBN：978-1-80590-099-3(Print) / 978-1-80590-100-6(Online)

Conference date: 2 July 2026

Editor：Marwan Omar, Hui-Rang Hou

Series: Applied and Computational Engineering

Volume number: Vol.152

ISSN：2755-2721(Print) / 2755-273X(Online)

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