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A Smart Parking Lot Management System for Scheduling the Recharging of Electric Vehicles

机译:用于调度电动汽车充电的智能停车场管理系统

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In this paper, we propose a centralized electric vehicles (EVs) recharge scheduling system for parking lots using a realistic vehicular mobility/parking pattern focusing on individual parking lots. We consider two different types of EV based on their mobility/parking patterns: 1) regular EVs; and 2) irregular EVs. An extensive trace-based vehicular mobility model collected from the Canton of Zurich is used for the regular EVs, and a probabilistic pattern built on top of this trace is used for modeling the behavior of irregular EVs. To the extent of our knowledge, this is the first EV charging scheduling study in the literature that takes into account a realistic vehicular mobility pattern focusing on individual parking lots. We compare the performance of our proposed system with two well-known basic scheduling mechanisms, first come first serve and earliest deadline first, with regard to two objective functions: 1) maximizing the total parking lot revenue; and 2) maximizing the total number of EVs fulfilling their requirements. Comparison results show that our proposed system outperforms well-known basic scheduling mechanisms with regards to both objectives. Parking lots managing the recharging of a high number of EVs will greatly benefit from using such recharge scheduling systems in the context of smart cities.
机译:在本文中,我们提出了一种集中的电动汽车(EV)充电调度系统,该系统使用针对单个停车场的逼真的车辆移动性/停车模式。我们基于其机动性/停车模式考虑两种不同类型的电动汽车:1)常规电动汽车; 2)不规则电动汽车。从苏黎世州收集的广泛的基于迹线的车辆机动性模型用于常规电动汽车,并在此迹线之上构建的概率模式用于对不规则电动汽车的行为进行建模。据我们所知,这是文献中的第一个EV充电计划研究,其中考虑了针对单个停车场的现实车辆出行方式。在两个目标功能方面,我们将我们提出的系统的性能与两个著名的基本调度机制(先到先服务和最早截止时间先到)进行比较,这涉及两个目标功能: 2)最大限度地满足要求的电动汽车总数。比较结果表明,就两个目标而言,我们提出的系统均优于众所周知的基本调度机制。在智能城市的背景下,使用此类充电调度系统将极大地受益于大量电动汽车充电的停车场。

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