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Design and Implementation of Estimating Algorithm for Foreign Object Location in Wireless Charging EV Systems

机译:无线充电电动汽车系统中异物定位估计算法的设计与实现

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Foreign object detection(FOD) is crucial in wireless power transfer architectures. The impact level of the foreign object(FO) is dependent on its location within the charging area. Therefore, location estimation of foreign objects on the transmitter and receiver pads is of great importance due firstly to the inaccessibility of the buried transmitter pad, and secondly to invisibility of the receiver pad attached underneath the car. This paper presents a theoretical formulation for location estimation of foreign object inside an inductive power transfer (IPT) system using resonant frequency and current deviation. An experimental set up of a self-tuning IPT system with a foreign object located on the primary coil as well as the ferrite bars is presented. The results show that for the same resonance frequency deviation caused by two foreign objects with different size, the one located on the primary coil surface relatively affects primary resonant current more than the one placed on ferrite bars. This difference in current can be used to characterize a current deviation profile which will enable the location of the FO to be accurately pin pointed within the IPT system.
机译:异物检测(FOD)在无线电力传输架构中至关重要。异物(FO)的撞击程度取决于其在充电区域内的位置。因此,首先,由于掩埋的发射器垫的难以接近,其次,由于附着在汽车下方的接收器垫的不可见性,异物在发射器和接收器垫上的位置估计非常重要。本文提出了一种利用共振频率和电流偏差来估算感应功率传输(IPT)系统中异物位置的理论公式。提出了一种自校正IPT系统的实验装置,该系统具有位于初级线圈和铁氧体磁条上的异物。结果表明,对于由两个大小不同的异物引起的相同的谐振频率偏差,位于初级线圈表面的一个异物相对于置于铁氧体磁棒上的一个异物对初级谐振电流的影响更大。电流的这种差异可用于表征电流偏差曲线,这将使FO的位置能够在IPT系统中精确地被指出。

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