scholarly journals Dual-Frequency Output of Wireless Power Transfer System with Single Inverter Using Improved Differential Evolution Algorithm

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2209 ◽  
Author(s):  
Jie Wu ◽  
Lizhong Bie ◽  
Nan Jin ◽  
Leilei Guo ◽  
Jitao Zhang ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Wireless Power Transfer ◽  
Wireless Charging ◽  
Power Transfer ◽  
Dual Frequency ◽  
Wireless Power ◽  
Nsga Ii ◽  
Multi Objective ◽  
Improved Differential Evolution Algorithm

In wireless charging devices, a transmitter that applies a single inverter to output dual-frequency can effectively solve the charging incompatibility problem caused by different wireless charging standards and reduce the equipment volume. However, it is very difficult to solve the switching angle of the modulated dual-frequency waveform, which involves non-linear high-dimensional multi-objective optimization with multiple constraints. In this paper, an improved differential evolution (DE) algorithm is proposed to solve the transcendental equations of switching angle trains of dual-frequency programmed harmonic modulation (PHM) waveform. The proposed algorithm maintains diversity while preserving the elites and improves the convergence speed of the solution. The advantage of the proposed algorithm was verified by comparing with non-dominated sorting genetic algorithm II (NSGA II) and multi-objective particle swarm optimization (MOPSO). The simulation and experimental results validate that the proposed method can output dual-frequency with a single inverter for wireless power transfer (WPT).

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.

scholarly journals MULTI-OBJECTIVE OPTIMIZATION OF WIRELESS POWER TRANSFER SYSTEMS WITH MAGNETICALLY COUPLED RESONATORS AND NONLINEAR LOADS

2019 ◽  
Vol 83 ◽  
pp. 25-42 ◽  
Author(s):  
Johan Winges ◽  
Thomas Rylander ◽  
Carl Petersson ◽  
Christian Ekman ◽  
Lars-Ake Johansson ◽  
...  
Keyword(s):  
Wireless Power Transfer ◽  
Power Transfer ◽  
Multi Objective Optimization ◽  
Wireless Power ◽  
Coupled Resonators ◽  
Nonlinear Loads ◽  
Multi Objective

scholarly journals Wireless Charging of Electrical Vehicle on Road

2021 ◽  
pp. 270-276
Author(s):  
Mr. Suraj Hussainsaheb Mulla ◽  
Mr. Vipul Uddhav Hawale ◽  
Mr. Pradeep Ramrao More ◽  
Mr. Kiran Joy Mandumpal ◽  
Prof. Supriya Shigwan
Keyword(s):  
Electric Vehicles ◽  
Storage System ◽  
Selection Criterion ◽  
Wireless Power Transfer ◽  
Antenna System ◽  
Prototype System ◽  
Wireless Charging ◽  
Power Transfer ◽  
Wireless Power ◽  
Vehicle Charging

Electric vehicles are seen as an alternative option in response to the depletion of resources. In order to increase the use of EVs in daily life, practical and reliable methods to charge batteries of EVs are quite important, accordingly wireless power transfer (WPT) is considered as a solution to charge batteries. In this project, a prototype system of wireless charger which has 60 kHz operation frequency is designed and implemented. Plug-in Electric Vehicles (PEV) are burdened by the need for cable and plug charger, galvanic isolation of the on-board electronics, bulk and cost of this charger and the large energy storage system (ESS) packs needed. But by using Wireless Charging system‘s Wireless charging opportunity. It Provides convenience to the customer, inherent electrical isolation, regulation done on grid side and reduces on-board ESS size using dynamic on-road charging. The main objective of our project is to design and develop an antenna system suitable for vehicle using resonant magnetic coupled wireless power transfer technology to electric vehicle charging systems. Application of WPT in EVs provides a clean, convenient and safe operation. At the core of the WPT systems are primary and secondary coils. These coils construct a loosely coupled system where the coupling coefficient is between 0.1-0.5. In order to transfer the rated power, both sides have to be tuned by resonant capacitors. The operating frequency is a key selection criterion for all applications and it especially affects the dimensions of the coils and the selection of the components for the power electronic circuit. A Resonant wireless transfer system for vehicle charging technology is designed.

scholarly journals Effect of Coil Structure on the Efficiency of Wireless Power Transfer System

2019 ◽  
Vol 9 (2) ◽  
pp. 3387-3392
Keyword(s):  
Wireless Power Transfer ◽  
Receiver Coil ◽  
Transfer System ◽  
Wireless Charging ◽  
Power Transfer ◽  
Wireless Power ◽  
Charging System ◽  
Coil Structure ◽  
Power Transfer Efficiency ◽  
Wireless Power Transfer System

A typical magnetic resonance based wireless power transfer (WPT) system comprises a transmitter coil and an embedded receiver coil used for wireless charging of the electrical and electronics devices. It has been investigated that the coil structure influence the power transfer efficiency of the wireless charging system .The investigations have been carried out in order to determine a suitable coil type and geometry so as to achieve higher efficiency of a wireless power transfer system. The present investigation will afford the design strategy for an efficient wireless charging system .

scholarly journals The Augmented Approach towards Equilibrated Nexus Era into the Wireless Rechargeable Sensor Network

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 639 ◽  
Author(s):  
Ahmad Ali ◽  
Yu Ming ◽  
Sagnik Chakraborty ◽  
Saima Iram ◽  
Tapas Si
Keyword(s):  
Sensor Network ◽  
Network Lifetime ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Wireless Power Transfer ◽  
Sensor Nodes ◽  
Wireless Charging ◽  
Power Transfer ◽  
Wireless Power ◽  
Wireless Rechargeable Sensor Network

Present research in the domain of wireless sensor network (WSN) has unearthed that energy restraint of sensor nodes (SNs) encumbers their perpetual performance. Of late, the encroachment in the vicinity of wireless power transfer (WPT) technology has achieved pervasive consideration from both industry and academia to cater the sensor nodes (SNs) letdown in the wireless rechargeable sensor network (WRSNs). The fundamental notion of wireless power transfer is to replenish the energy of sensor nodes using a single or multiple wireless charging devices (WCDs). Herein, we present a jointly optimization model to maximize the charging efficiency and routing restraint of the wireless charging device (WCD). At the outset, we intend an unswerving charging path algorithm to compute the charging path of the wireless charging device. Moreover, Particle swarm optimization (PSO) algorithm has designed with the aid of a virtual clustering technique during the routing process to equilibrate the network lifetime. Herein clustering algorithm, the enduring energy of the sensor nodes is an indispensable parameter meant for the assortment of cluster head (CH). Furthermore, compare the proposed approach to corroborate its pre-eminence over the benchmark algorithm in diverse scenarios. The simulation results divulge that the proposed work is enhanced concerning the network lifetime, charging performance and the enduring energy of the sensor nodes.

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