Obstacle‐Immune Microwave Wireless Power Transfer System Based on Amplitude‐Dependent Caustic Metasurface

Rapid advances in the Internet of Everything (IoE) drive microwave wireless power transfer (MWPT) technology for charging wireless smart devices. However, environmental obstacles and safety concerns associated with high-power transmission present new challenges for the technology. To address these problems, an amplitude-dependent caustic metasurface (ADCMs) design method is proposed for generating self-bending radio frequency circular Airy beams (RFCAB). The self-accelerating circular Airy beam has a natural hollow region, providing an obstacle avoidance and safety zone during microwave transmission focusing. The ADCMs, derived from caustic theory, are capable of generating RFCAB with arbitrary curvatures and offer flexible control over the positioning of the energy focus. An innovative feed architecture, a uniform circular array (UCA) emitting vortex electromagnetic waves, is used to match the amplitude excitation on which the metasurface depends. The designed ADCMs consists of 1/3 wavelength units and contains only two layers of substrate, with high transmittance and full 360<sup>0</sup> phase coverage, ensuring efficient beam generation and manipulation. Simulation and experimental analyses demonstrate the obstacle-avoidance characteristics and safety features under high-power transmission of ADCMs-based MWPT systems. The proposed MWPT system is anticipated to offer an effective obstacle avoidance and safety solution for the wireless charging of devices within the IoE.

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Publication Details

Journal
Advanced Science
Published
2025-08-04
DOI
https://doi.org/10.1002/advs.202510070
Citations
2
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
1.46

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article

Obstacle‐Immune Microwave Wireless Power Transfer System Based on Amplitude‐Dependent Caustic Metasurface

Jiaqi Han, Zhe Zheng, Xiangjin Ma, Xin Wang et al.
2 citations
Advanced Science
Energy Harvesting in Wireless Networks
1.46
article

Obstacle‐Immune Microwave Wireless Power Transfer System Based on Amplitude‐Dependent Caustic Metasurface

Jiaqi Han, Zhe Zheng, Xiangjin Ma, Xin Wang, Song Zhang, Long Li, Haixia Liu, Hao Xue
article en
2 citations

Abstract

Rapid advances in the Internet of Everything (IoE) drive microwave wireless power transfer (MWPT) technology for charging wireless smart devices. However, environmental obstacles and safety concerns associated with high-power transmission present new challenges for the technology. To address these problems, an amplitude-dependent caustic metasurface (ADCMs) design method is proposed for generating self-bending radio frequency circular Airy beams (RFCAB). The self-accelerating circular Airy beam has a natural hollow region, providing an obstacle avoidance and safety zone during microwave transmission focusing. The ADCMs, derived from caustic theory, are capable of generating RFCAB with arbitrary curvatures and offer flexible control over the positioning of the energy focus. An innovative feed architecture, a uniform circular array (UCA) emitting vortex electromagnetic waves, is used to match the amplitude excitation on which the metasurface depends. The designed ADCMs consists of 1/3 wavelength units and contains only two layers of substrate, with high transmittance and full 360<sup>0</sup> phase coverage, ensuring efficient beam generation and manipulation. Simulation and experimental analyses demonstrate the obstacle-avoidance characteristics and safety features under high-power transmission of ADCMs-based MWPT systems. The proposed MWPT system is anticipated to offer an effective obstacle avoidance and safety solution for the wireless charging of devices within the IoE.

Advanced ScienceVol. 12(39)
Xidian University (CN), Xi’an University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Shanghai Jiao Tong University, Xidian University
Affordable and clean energy
Openalex Percentile: Top 16%
Energy Harvesting in Wireless Networks
1.46
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