自动电动汽车充电系统

Madhur Behl, Jackson DuBro, Taylor Flynt, Imaan Hameed, G. Lang, Felix Park
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引用次数: 7

摘要

电动汽车的普及已经超过了充电基础设施的增长。随着充电站的需求超过供应,扩大消费者的充电基础设施对于改善拥有和维护电动汽车的体验至关重要。一个解决方案就是提供更多的充电站;然而,这需要大量的前期硬件和空间成本。此外,分配给电动汽车的停车位只能供电动汽车使用,迫使制造商决定电动汽车和非电动汽车停车位的数量。目前的充电站也有自己的问题。当一辆电动汽车完成充电后,它在充电地点花费的任何额外时间都是另一辆电动汽车可以用来给自己充电的时间。创新的新产品对于建立一个充足的充电网络是必要的。在这项工作中,提出了一种移动自主机器人,它可以在任何位置使用自己的电池为停放的电动汽车充电。我们创造了一个概念验证的自主充电机器人,以展示可行性并激励未来的工作。目标是提供三个主要的解耦功能:停车场导航、电动汽车插头引导和机器人电池交换。目前的迭代满足了这些功能,使用TurtleBot来导航模拟停车场,新设计和原型用于更换电池,以及与计算机视觉算法配对的机械臂来引导3D打印插头。未来迭代的持续挑战包括集成主要功能和处理更广泛的不常见用例。
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Autonomous Electric Vehicle Charging System
Electric vehicle (EV) adoption has surpassed the growth of charging infrastructure. As the demand for charging stations surpass the supply, expanding charging infrastructure for consumers is crucial to improving the experience of owning and maintaining an EV. One solution is to simply provide more charging stations; however, this requires significant upfront hardware and space cost. In addition, parking spots allocated for EVs should only be used by EVs, forcing manufacturers to make a decision on the number of EV and non-EV parking spots. Current charging stations also have their own problems. When an EV is finished charging, any additional time it spends in the charging location is time that another EV could be using to charge itself. Innovative new products are necessary to create an adequate charging network. In this work, a mobile autonomous robot which charges parked EVs at any location with its own battery is presented. We created a proof-of-concept autonomous charging robot to demonstrate feasibility and motivate future work. The goal is to provide three main decoupled functionalities: parking lot navigation, EV plug guidance, and robot battery swapping. The current iteration meets these functionalities using a TurtleBot to navigate a mock parking lot, new designs and prototypes for swapping batteries, and a robotic arm paired with a computer vision algorithm to guide a 3D printed plug. Ongoing challenges for future iterations involve integrating the main functionalities and dealing with a wider range of less common use cases.
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