A Watt-Level RF Wireless Power Transfer System with Intelligent Auto-Tracking Function
Radio-frequency (RF) microwave wireless power transfer (WPT) offers an efficient means of delivering energy to a wide array of devices over long distances. Previous RF WPT systems faced significant challenges, including complex hardware and control systems, software deficiencies, insufficient rectification power, lack of high-performance substrate materials, and electromagnetic radiation hazards. Addressing these issues, this paper proposes the world’s first watt-level RF WPT system capable of intelligent continuous tracking and occlusion judgment. Our 5.8 GHz band RF WPT system integrates several advanced technologies, such as millimeter-precision lidar, the multi-object image recognition algorithm, the accurate 6-bit continuous beamforming algorithm, a compact 16-channel 32 W high-power transmitting system, a pair of ultra-low axial ratio circularly polarized antenna arrays, ultra-low-loss high-strength ceramic substrates, and a 2.4 W high-power Schottky diode array rectifier achieving a rectification efficiency of 66.8%. Additionally, we construct a platform to demonstrate the application of the proposed RF WPT system in battery-free vehicles, achieving unprecedented 360∘ uninterrupted power supply to the battery-free vehicle. In summary, this system represents the most functionally complete RF WPT system to date, serving as a milestone for several critical fields such as smart living, transportation electrification, and battery-less/free societies.
Authors
- Bo Hou (ORCID: https://orcid.org/0000-0002-4524-3669)
- Chuandeng Hu
- Weijia Wen (ORCID: https://orcid.org/0000-0003-3784-7494)
- Zhaoxu Yan (ORCID: https://orcid.org/0000-0002-5590-7131)
Institutions
- Hong Kong University of Science and Technology (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- Electronics
- Published
- 2025-03-22
- DOI
- https://doi.org/10.3390/electronics14071259
- Citations
- 1
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China