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Research On Key Technologies And Algorithms Of Indoor Multipoint Wireless Charging System

Posted on:2019-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y Z GaoFull Text:PDF
GTID:2322330545958517Subject:Electronic Science and Technology
Abstract/Summary:PDF Full Text Request
Recently,driven by the booming consumer electronics market,techniques on wireless power transmission has drawn attention from both researchers and consumers for the benefit of a better user experience.Besides,influenced by a series of new energy policy,wireless charger has a vast market prospect.However,existed wireless charged products on the market are mostly based on electromagnetic induction principle,it has a centimeters level of charging distance,and a restricted mobility.Although,some experimental research based on magnetic resonance coupling extends charging distance to the level of several meters,but the other key indicator-charging efficiency has been heavily discounted.In this article,we are dedicated to advance two key indicators of a wireless power transmission system efficiency and number of receivers.On one hand,we research the efficiency of wireless power transfer system with multiple transmitters and multiple receivers.From the perspective of signal processing,we set up an optimization problem to gain the minimum transmission power.Simulation results show that the optimal solution of optimization problem significantly improves the efficiency of the system.On the other hand,we apply this optimization scheme to mobile scenarios in which transmitters are fixed while receivers and constraint condition are increasing.Simulation results show that with the increase of the receiver numbers,the efficiency of the system has an decreasing tendency.To sum up,this paper studies the two key technologies,namely,MagMIMO transmission model based on magnetic resonance coupling the technology of improving system efficiency through the convex optimization theory.
Keywords/Search Tags:WPT, charging efficiency, convex optimization
PDF Full Text Request
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