基于真实交通数据和离散事件仿真的德国高速公路充电站数量确定

Andreas Witt
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引用次数: 0

摘要

为了使电动汽车的长途出行像传统汽车一样方便,高速公路沿线的充电站是必要的。此外,免费充电点的等待时间必须短,以便快速前进,这也是在交通繁忙的日子里。为了更详细地确定充电站的数量,研究人员创建了一个模型,根据真实的交通数据,模拟车辆在充电站到达和离开的过程。对于交通数据,选择了慕尼黑地区的一个位置和日期,代表高峰需求,因此是“最坏情况”的场景。覆盖这种情况的能力似乎也很重要,因为否则在交通繁忙的日子里会出现严重的拥堵和漫长的等待时间,这将使使用电动汽车变得非常没有吸引力。事实证明,需要150到600个充电站(取决于所考虑的场景)来为所有过路车辆的10%到20%的比例充电。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of the Number of Required Charging Stations on a German Motorway Based on Real Traffic Data and Discrete Event-Based Simulation
Abstract To make travelling with electric vehicles (EVs) over long distances as convenient as travelling with traditional vehicles, charging stations along motorways are necessary. Furthermore, waiting times for free charging points must be short to enable a fast onward journey, and this also on days with heavy traffic volumes. To determine the required number of charging stations in more detail, a model was created that simulates the process of arriving and leaving cars at a charging park based on real traffic data. For the traffic data, a location and date in the Munich region were chosen that represent a peak demand and thus a “worst case” scenario. The ability to cover such scenarios as well seems to be important because otherwise severe congestion with long waiting times would appear on days with heavy traffic, which would make the use of EVs very unattractive. It turned out that 150 to 600 charging stations – depending on the considered scenario – would be necessary to charge proportions of 10% to 20% of all passing cars.
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