Genetic Algorithm-Based Receiving Resonator Array Design for Wireless Power Transfer
Genetic Algorithm-Based Receiving Resonator Array Design for Wireless Power Transfer
复制标题
基于遗传算法的无线功率传输接收谐振器阵列设计
DOI：
10.1109/access.2020.3044224
复制
发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Kawahara Yoshihiro
中科院分区：
文献类型：
--
作者：
Sasatani Takuya;Narusue Yoshiaki;Kawahara Yoshihiro
部署多个发射器的2-D阵列是将无线功率传输（WPT）扩展到宽表面的有前途的方法。然而，这些阵列涉及“空区”，其中转移效率显著下降。虽然这个问题可以通过采用接收器阵列和动态选择适当的发射器/接收器对来假设性地解决，但是设计在整个表面实现高效率的接收器阵列仍然是一项具有挑战性的任务。在这项研究中，我们提出了一种基于遗传算法（GA）的方法来设计接收器阵列的“零区”。主要目标是增强最坏情况的场景，这与改进最好情况的场景相反，由于需要考虑许多可能的放置，因此揭示了显着的复杂性。我们克服了这个问题，通过建立一个设计流程，利用模拟传输效率在整个表面的许多位置。我们的方法将最差位置处的模拟传输效率从3.8%提高到42.6%，并且我们通过在提取点处的测量来证实这些结果。
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.