TY - GEN
T1 - Research on Wireless Charging Position Sensing Method Based on Visual Parameters
AU - Wang, Ke
AU - He, Dai
AU - Li, Yongqiang
AU - Qian, Kejun
AU - Zhao, Yongping
AU - Zhu, Chunbo
AU - Song, Kai
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/24
Y1 - 2021/5/24
N2 - In the field of wireless charging of electric vehicles, the charging efficiency is often reduced due to the offset of coupling mechanism. How to effectively control the offset of coupling mechanism and realize accurate alignment of magnetic coupling mechanism is very important. Based on this problem, the researchers carried out a study on the precise alignment of the wireless charging system. By measuring the characteristic parameters such as electricity, magnetism and vision, the effective charging area was identified in real time and the relative position of the magnetic coupling mechanism was calculated. In this paper, a wireless charging counterpoint method based on monocular vision is proposed for the visual parameters. By establishing the identification and PnP pose detection model, the relative pose of the ground transmitter and the on-board receiver was determined, the alignment of the magnetic coupling mechanism was realized and the experimental error analysis was carried out, which verified the feasibility and accuracy of realizing the precise alignment of the wireless charging system through the machine vision scheme.
AB - In the field of wireless charging of electric vehicles, the charging efficiency is often reduced due to the offset of coupling mechanism. How to effectively control the offset of coupling mechanism and realize accurate alignment of magnetic coupling mechanism is very important. Based on this problem, the researchers carried out a study on the precise alignment of the wireless charging system. By measuring the characteristic parameters such as electricity, magnetism and vision, the effective charging area was identified in real time and the relative position of the magnetic coupling mechanism was calculated. In this paper, a wireless charging counterpoint method based on monocular vision is proposed for the visual parameters. By establishing the identification and PnP pose detection model, the relative pose of the ground transmitter and the on-board receiver was determined, the alignment of the magnetic coupling mechanism was realized and the experimental error analysis was carried out, which verified the feasibility and accuracy of realizing the precise alignment of the wireless charging system through the machine vision scheme.
KW - Image Processing
KW - Monocular Vision
KW - Pose Estimation
UR - https://www.scopus.com/pages/publications/85114212232
U2 - 10.1109/ECCE-Asia49820.2021.9479132
DO - 10.1109/ECCE-Asia49820.2021.9479132
M3 - 会议稿件
AN - SCOPUS:85114212232
T3 - Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
SP - 1277
EP - 1280
BT - Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
Y2 - 24 May 2021 through 27 May 2021
ER -