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Autonomous Robot-Like Mobile Chargers for Electric Vehicles at Public Parking Facilities

机译:公共停车场的电动汽车用自主机器人式移动充电器

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摘要

At a public parking facility, only electric vehicles (EVs) that are parked at dedicated parking spaces with charging points can enjoy charging services. Installing a charging point at each parking space is an expensive way to support increasing EV penetration. As an alternative, this paper proposes the novel idea of autonomous robot-like mobile charger, which can move freely to visit different parking spaces to charge vehicles. Mobile charger decouples EV charging requirement from parking requirement. A Markov chain model is developed to describe the mobile charger operation in a parking facility, which is shared by EVs and non-EVs with stochastic arrivals and departures. The model is used to study performance of the charger, in terms of system throughput, charging delay, and blocking probability. Accuracy of the proposed model has been verified through extensive simulations. It is found that the maximum throughput of a mobile charger is dependent only on the effective charging powers, which may be affected by the size of parking facility. As a system planning criterion, EV arrival rate must not exceed the maximum charger throughput.
机译:在公共停车设施中,只有停在带充电点的专用停车位上的电动汽车(EV)才能享受充电服务。在每个停车位安装充电点是支持增加电动汽车普及率的昂贵方法。作为替代方案,本文提出了一种类似自主机器人的移动充电器的新想法,该充电器可以自由移动以访问不同的停车位为车辆充电。移动充电器使EV充电要求与停车要求脱钩。开发了马尔可夫链模型来描述停车设施中的移动充电器操作,这是由电动汽车和非电动汽车共享的,具有随机的到达和离开。该模型用于研究充电器的性能,包括系统吞吐量,充电延迟和阻塞概率。通过广泛的仿真验证了所提出模型的准确性。已经发现,移动充电器的最大吞吐量仅取决于有效的充电功率,这可能会受到停车设施的大小的影响。作为系统规划标准,EV到达率不得超过最大充电器吞吐量。

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