您当前的位置：
首页 >
文章列表页 >
Application of Magnetic Coupling Resonance Wireless Power Transfer in Power System
Smart Grid | 更新时间：2025-06-06

    • Application of Magnetic Coupling Resonance Wireless Power Transfer in Power System

    • “Under the trend of unmanned and intelligent power systems, magnetic coupling resonance wireless energy transmission technology can help solve the wireless power supply problem of intelligent devices. This article introduces its application scenarios in wireless charging for electric vehicles, wireless charging systems for substation power inspection robots, and wireless charging systems for line inspection drones. It is believed that there is still research space in terms of charging efficiency, high-power charging, system stability, and bidirectional wireless energy transmission, and future research directions are proposed.”
    • Power Generation Technology   Vol. 43, Issue 1, Pages: 32-43(2022)

    • DOI：10.12096/j.2096-4528.pgt.20118    

      CLC： TK 01;TM 724

    • Received：06 March 2021，

      Published：28 February 2022

    移动端阅览

  • JIANG Bingwei,WEI Bin,HE Hao,et al.Application of Magnetic Coupling Resonance Wireless Power Transfer in Power System[J].Power Generation Technology,2022,43(01):32-43. DOI： 10.12096/j.2096-4528.pgt.20118.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Research on Three-Phase Imbalance in Distribution Networks Considering Coordinated Photovoltaic Phase Switching and Flexible Load
Detection Algorithm for Insulators and Foreign Objects on Transmission Lines Based on Unmanned Aerial Vehicle Inspection
Location Detection of False Data Injection Attacks in Power Grid Based on Improved Deep Extreme Learning Machine
Short-Term Wind Power Prediction Method Considering Wind Turbine Operation Status Clustering Under Low-Temperature Conditions
Optimal Operation Method of Electric-Hydrogen Hybrid Energy Storage Microgrid System Based on Typical Commercial Operation Mode

Related Author

GAO Shan
XING Jie
SHAN Yinghao
GU Yi
YU Zihan
WANG Heming
WANG Jiankai
ZHU Shengqiang

Related Institution

College of Information Science and Technology, Donghua University, Songjiang District
College of Automation and Electronic Engineering, Qingdao University of Science & Technology
Shandong Golden Electric Power Limited Company
College of Electrical Engineering and New Energy, China Three Gorges University
Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station (China Three Gorges University)
0