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.
[1]
Zhao Zhengming,et al.
New Progress of Wireless Charging Technology for Electric Vehicles
,
2016
.
[2]
Bingnan Wang,et al.
Metamaterials for wireless power transfer
,
2012,
2012 IEEE International Workshop on Antenna Technology (iWAT).
[3]
B. Caprile,et al.
Using vanishing points for camera calibration
,
1990,
International Journal of Computer Vision.
[4]
Zhengyou Zhang,et al.
A Flexible New Technique for Camera Calibration
,
2000,
IEEE Trans. Pattern Anal. Mach. Intell..
[5]
Pavol Bauer,et al.
Economic considerations for on-road wireless charging systems - A case study
,
2015,
2015 IEEE PELS Workshop on Emerging Technologies: Wireless Power (2015 WoW).