Design to Minimize Coupling Coefficient between Transmitter Coils based on Deep Learning for Wireless Power Transfer with Multi-Transmitter

被引:2
|
作者
Huh, Sungryul [1 ]
Kim, Haerim [1 ]
Jung, GuHo [2 ]
Choi, Semin [1 ]
Shin, Yujun [1 ]
Al Hosani, Khalifa [3 ]
Park, Dongryul [1 ]
Kim, Jedok [1 ]
Ahn, Seungyoung [1 ]
机构
[1] Korea Adv Inst Sci & Technol, CCS Mobil, Daejeon, South Korea
[2] Korea Adv Inst Sci & Technol, WPTRC, Daejeon, South Korea
[3] Khalifa Univ, ECE, Abu Dhabi, U Arab Emirates
关键词
Wireless power transfer; multiple transmitter; coupling coefficient; deep learning; coil arrangement;
D O I
10.1109/WPW54272.2022.9853954
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The wireless charging pad with multiple transmitter (TX) coils has the advantage of solving the misalignment problem, high efficiency, and low leakage magnetic field. However, since the multi-TX wireless power transfer(WPT) system has coupling coefficients between TX coils, k(TX). It changes the resonance point of the TX and causes a problem in that efficiency and power delivered to the receiver are drastically reduced. This paper analyzes the effect of k(TX) according to the operation of the TX coils and proposes an arrangement method by Deep Learning model that makes k(TX) to zero. A learning model is constructed using Deep Neural Network, and the model can output the distance where k(TX) can become zero when the coil specification is input.
引用
收藏
页码:443 / 447
页数:5
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