267 research outputs found

    Optimization and Control of Lumped Transmitting Coil-Based In-Motion Wireless Power Transfer Systems

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    Wireless inductive power transfer systems are the only viable option for transferring energy to a moving vehicle. In recent years, there has been a great deal of interest in in-motion vehicle charging. The dominant technology thus far for in motion charging is elongated tracks, creating a constant eld for the moving vehicle. This technology suers from high volt ampere ratings and lower efficiency of 70%. On the other hand, stationary charging systems can demonstrate efficiency up to 95%. This thesis proposes lumped coils, similar to stationary charging coils for in-motion electric vehicle charging application. This novel primary coil architecture introduces new challenges in optimization and control. Traditional design of wireless inductive power transfer systems require designer experience, use of time consuming 3D FEM algorithms and lacks the comprehensive nature required for these systems. This thesis proposes two new optimization algorithms for the design problem which are comprehensive, based on only analytical formulations and do not need designer experience. There are challenges in the control of power transfer as well. Higher efficiency comparable to stationary systems can only be realized with proper synchronization of primary voltage with the vehicle position. Vehicle position detection and communication introduce significant cost and convenience issues. This thesis proposes a novel control algorithm which eliminates the need for vehicle position sensing and yet transfers the required percentage of energy. Both the optimization and control algorithms are verified with hardware setup

    A generalized approach to planar induction heating magnetics

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    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student submitted PDF version of thesis.Includes bibliographical references (p. 85-90).This thesis describes an efficient numerical simulation technique of magnetoquasistatic electromagnetic fields for planar induction heating applications. The technique is based on a volume-element discretization, integral formulation of Maxwell's equations, and uses the multilayer Green's function to avoid volumetric meshing of the heated material. The technique demonstrates two orders of magnitude of computational advantage compared to existing FEM techniques. Single-objective and multiobjective optimization of a domestic induction heating coil are performed using the new technique, using more advanced algorithms than those previously used due to the increase in speed. Both optimization algorithms produced novel, three-dimensional induction coil designs.by Richard Yi Zhang.S.M

    DESIGN OF RF SYSTEMS AT HF AND VHF FOR COMMUNICATIONS, RADAR AND BIOMEDICAL APPLICATIONS: MINIATURIZATION OF RADIATING ELEMENTS AND SYNTHESIS OF TUNING AND MATCHING NETWORKS

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    Electrically small antennas have received an increasing interest especially for both radar and medical applications. In this dissertation, several approaches for antennas miniaturization have been studied and proposed for Over the Horizon (OTH) phased array radars. In the last case, the need to reduce the size of the antenna is dictated by the wavelengths in the HF frequency range. To this aim, most of this dissertation is focused on a new methodology for reaching both wideband and small sizes characteristics of the antenna for radar purposes. Additionally, several matching networks have been studied in order to reduce the mutual coupling between the radiating elements in the array. As a side work, by exploiting the miniaturization of the antennas, Radio Frequency coils for Magnetic Resonance Imaging application have been analyzed. A new approach has been presented in order to study the behaviour of these antennas in realistic environments
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