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A method for aligning of transmitting and receiving coils of electric vehicle wireless charging based on binocular vision

机译:基于双目视觉的电动汽车无线充电发射线圈与接收线圈对准的方法

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For the inefficient wireless charging between the electric vehicle transmitting coil and receiving coil cannot be accurately aligned, this paper puts forward a specific solving method for aligning of electric vehicle transmitting coil and receiving coil based on binocular vision. Firstly, this method collects image of the parking space through the binocular vision system and then preprocess the image, with that locates the image processed in the horizontal and vertical directions. The location in the horizontal direction is mainly based on the fixed size of the image and the position of the LED that we collected in the image differ from the LED in the standard alignment system and it is achieved by extracting and transforming centroid coordinate of the LED which located in the center of the transmitting device. The location in the vertical direction is mainly based on the relationship between the parallax and depth and also based on the results of the binocular calibration, to achieve alignment. Comparing the alignment data with given data to obtain the alignment parameters. Finally, the parameters are converted to the number of turns of the motor, and then controlling the movement of the receiving device in horizontal and vertical direction, to achieve alignment. This paper mainly focus on the acquisition of parameters in this method. The experimental results show that the method can obtain parameters of alignment well, and it also can be achieved in the condition of weak light.
机译:针对电动汽车发射线圈与接收线圈之间的低效率无线充电无法准确对准的问题,提出了一种基于双目视觉的电动汽车发射线圈与接收线圈对准的具体解决方法。首先,该方法通过双目视觉系统收集停车位的图像,然后对其进行预处理,从而将处理后的图像定位在水平和垂直方向上。水平方向上的位置主要取决于图像的固定大小,并且我们在图像中收集的LED的位置与标准对齐系统中的LED有所不同,这是通过提取和转换LED的质心坐标来实现的它位于传输设备的中心。垂直方向上的位置主要基于视差和深度之间的关系,还基于双目校准的结果来实现对齐。将对准数据与给定数据进行比较以获得对准参数。最后,将参数转换为电动机的匝数,然后控制接收设备在水平和垂直方向上的移动,以实现对齐。本文主要关注这种方法的参数获取。实验结果表明,该方法可以很好地获得对准参数,在弱光条件下也可以实现。

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