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EN
The purpose of the present study was to simulate the equivalent circuit in the MATLAB software in order to implement the desired relationships for both continuous-conduction mode (CCM) and discontinuous-conduction mode (DCM), and to obtain the power and efficiency values at different frequencies. Then, it was necessary to optimize the effective values on the power by Particle Swarm Optimization (PSO) algorithm. After optimization, the optimization and pre-optimization results were compared and, if post-optimization results were not desirable, effective parameters should be reviewed before the optimization stage and the tunable parameters should be changed to achieve the desired results. This process will continue to obtain the optimization results. The results show that the highest efficiency is 98% in the DCM mode and 95% in the CCM mode. In both methods, we achieved more favorable results than the with the PSO method. However, the DCM mode provides an improvement which is about 2.6% higher than CCM.
EN
Nowadays, there is a need for charging electric vehicles (EVs) wirelessly, since it provides a more convenient, reliable, and safer charging option for the EV customers. A wireless charging system using a double-sided LCC compensation topology is proven to be highly efficient; however, the large volume induced by the compensation coils is a drawback. Endocrine links are more useful in transmitting power wirelessly than other links. These links are used in the transmission of low and medium power. In this paper, by analyzing the equivalent circuit of a WPT power transmission system, the optimal value of the inductance was formulated to increase the yield. This can have other applications. In order to neutralize the reactive losses, the series resonance is used in both in primary and secondary sections, among which the lower quantities of series inductors were selected from the initial values to increase the efficiency and power. Furthermore, it is possible to optimize these values using suitable optimization methods. In this study, the PSO algorithm was used for this purpose.
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