.png){kind=icon}
返回
Genetic Algorithm-Based Receiving Resonator Array Design for Wireless Power Transfer
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2020.3044224.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Deploying 2-D arrays of multiple transmitters is a promising approach for extending wireless power transfer (WPT) to wide surfaces. However, these arrays involve null zones, where the transfer efficiency drops significantly. Although this problem can be hypothetically addressed by employing a receiver array and dynamically selecting the appropriate transmitter/receiver pair, designing receiver arrays that achieve high efficiency throughout the surface remains a challenging task. In this study, we propose a genetic algorithm (GA)-based approach to designing receiver arrays free of null zones. The main objective is enhancing worst-case scenarios, which in contrast to improving best-case scenarios, reveals significant complexities due to the need for considering numerous possible placements. We overcome this problem by establishing a design flow that leverages the simulated transfer efficiency at numerous positions throughout the surface. Our approach increased the simulated transfer efficiency at the worst position from 3.8% to 42.6%, and we confirmed these results through measurements at the extracted points.
Keyword:
Genetic algorithms
Coils
Wireless power transfer
Antenna arrays
Magnetic resonance
Equivalent circuits
Cost function
Genetic algorithm
magnetic resonance coupling
wireless power transfer
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Novel phosphonium salt for paste electrode to study the redox properties of insoluble compounds
PREAI
分享收藏Wireless body sensor networks based on metamaterial textiles基于超材料纺织品的无线人体传感器网络.png)
NATURE ELECTRONICS
NATURE ELECTRONICSIF40.9
PREAI
分享收藏
分享收藏
查看更多内容