[Oral Presentation]Efficiency Improvement of Wireless Charging System Based on Double-layer Multi-transmitters

Efficiency Improvement of Wireless Charging System Based on Double-layer Multi-transmitters
ID:32 Submission ID:35 View Protection:ATTENDEE Updated Time:2025-11-03 12:32:34 Hits:111 Oral Presentation

Start Time:2025-11-09 09:15 (Asia/Shanghai)

Duration:15min

Session:[S4] 4. Wireless power transfer technology » [S4] 4.Wireless power transfer technology

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Abstract
In this paper, a double-layer multi-transmitters (TXs) and its activation strategy with high transmission efficiency and misalignment tolerance is proposed for a wireless charging system. Firstly, the TXs is a two-layer coils staggered arrangement, with a relatively uniform magnetic field and low leakage flux, which can effectively enhance the anti-misalignment performance. The receiving coil (RX) is designed with a minimum outer radius to ensure the rated power pickup. Then, the optimal transmission efficiency condition is derived, which is related to TXs current, mutual inductance, and the activated TXs number. Based on the optimal efficiency condition, TXs activation strategy is determined by further detecting the voltage and current on the primary side and load to identify mutual inductance. An experimental prototype is carried out to validate the proposal. The results show that the proposed system can transmit a constant power of 500W in misalignments, with a maximum efficiency of 91%.
 
Keywords
multi-transmitters wireless power transfer, optimal efficiency, coil activation, double-layer
Speaker
Yanling Li
Southwest Jiaotong University

Submission Author
chunlong li China Electric Power Research Institute;Electric Power Intelligent Sensing Technology Laboratory of State Grid Corporation
Xin Wang State Grid Xinjiang Information & Telecommunication Company and State Grid Xinjiang Electric Power Co., Ltd
Hui Huang China Electric Power Research Institute;Electric Power Intelligent Sensing Technology Laboratory of State Grid Corporation
Zhidong Gao China Electric Power Research Institute;Electric Power Intelligent Sensing Technology Laboratory of State Grid Corporation
Weiqiang Liu CRRC Zhuzhou Institute Co., LTD
Yanling Li Southwest Jiaotong University
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