基于刚柔机械手的电动汽车自动充电系统设计

A. S., L. S.
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引用次数: 1

摘要

过去几年,电动汽车(EV)用户的数量显著增长。电动汽车的自动驾驶和停车是汽车行业的未来,这需要客户友好和创新的充电基础设施发展。一个完全自主的充电系统给了他们很大的帮助。提出了一种电动汽车自动充电系统的设计方案。YOLO (You Only Look Once)算法是一种基于深度神经网络的目标检测算法,用于自动识别和定位电动汽车的充电口。从而实现在复杂环境下对充电口的精确定位。在此基础上,设计了可移动平台上的刚柔机械手,实现电动汽车自动导电充电。无论车辆型号和充电端口如何,所提出的设计都可以用于电动汽车的自动充电。所设计的机械手成功地沿着充电口检测系统跟踪的路径进行插拔。仿真结果表明了该设计的有效性。
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Design of Automatic Charging System for Electric Vehicles using Rigid-Flexible Manipulator
Last few years have seen a remarkable growth in the number of Electric Vehicle (EV) users. Autonomous driving and parking of EV s are the future of vehicle industry and this calls for customer friendly and innovative charging infrastructure de-velopment. A fully autonomous charging system highly aid them. This paper proposes the design of an automatic charging system for EVs. In this work YOLO (You Only Look Once) algorithm, a deep neural network based object detection algorithm is used to automatically recognize and locate the charging port of an EV. Thus accurate positioning of charging port in a complex environment can be achieved. A rigid-flexible manipulator on a movable platform is then designed for conductive charging of an EV automatically. Irrespective of vehicle models and charging ports the proposed design can be used for the automatic charging of EVs. The designed robotic manipulator successfully follows the path traced by the charging port detection system and perform plug-in process. The simulation results show the efficacy of the proposed design.
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