scholarly journals Genetic Algorithm-Based Receiving Resonator Array Design for Wireless Power Transfer

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 222385-222396
Author(s):  
Takuya Sasatani ◽  
Yoshiaki Narusue ◽  
Yoshihiro Kawahara
Keyword(s):  
Genetic Algorithm ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power ◽  
Array Design

scholarly journals Automatic Optimization of the Compensation Networks of a Wireless Power Transfer System

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5298
Author(s):  
Manuele Bertoluzzo ◽  
Stefano Giacomuzzi ◽  
Elisabetta Sieni
Keyword(s):  
Genetic Algorithm ◽  
Wireless Power Transfer ◽  
System Optimization ◽  
Experimental Results ◽  
Transfer System ◽  
Power Transfer ◽  
Wireless Power ◽  
Power Transfer Efficiency ◽  
Wireless Power Transfer System ◽  
The Difference

This paper addresses the optimization of the compensation networks of a wireless power transfer system. Optimization is performed by means of a genetic algorithm that looks for the reactances of the elements of the compensation networks that maximize the power transfer efficiency and the power transferred to the load. In addition, the algorithm selects the solutions that are less sensitive to the difference between the theoretical and actual reactances. The last part of the paper describes the prototypal setup used for the tests and supports the theoretical findings by reporting experimental results.

scholarly journals Multi-objective topology optimization of magnetic couplers for wireless power transfer

2020 ◽  
Vol 64 (1-4) ◽  
pp. 325-333
Author(s):  
Yunyi Gong ◽  
Yoshitsugu Otomo ◽  
Hajime Igarashi
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power ◽  
Nsga Ii ◽  
Pareto Solution ◽  
Good Balance ◽  
Multi Objective ◽  
Gaussian Network

In this paper, the multi-objective topology optimizations of wireless power transfer (WPT) devices with two different coil geometries are proposed for obtaining the designs with good balance between transfer efficiency and safety. For this purpose, the proposed method adopts the normalized Gaussian network (NGnet) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). In addition, the optimization under the different constraint on ferrite volume is carried out to verify its influence on optimization results. It has been shown that the proposed method successfully provides the Pareto solution to the design problem of the WPT device.

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