Finding suitable locations for charging stations

Matthias Eisel, J. Schmidt, L. Kolbe
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引用次数: 17

Abstract

One of the most significant reasons for the current low market penetration of electric vehicles (EVs) is the insufficient charging infrastructure. Although many EV users have a charging possibility at home and the range of these vehicles would be adequate for most drivers' usage patterns, EV users demand a charging infrastructure similar to that of filling stations. This is mainly due to the range anxiety phenomena, describing EV users' concerns about not reaching a planned destination due to a discharged battery. In order to distribute the charging stations at suitable sites with high visibility, thereby reducing these concerns, we suggest an approach for implementing customers' preferences into a facility location planning model. Our model is evaluated using the example of an urban area, considering both quantitative (e.g., traffic density) and qualitative characteristics. The allocation model developed was able to identify suitable sites for the allocation of charging stations, providing decision support for both governments and providers.
寻找合适的充电站位置
目前电动汽车市场渗透率低的最重要原因之一是充电基础设施不足。尽管许多电动汽车用户可以在家里充电,而且这些车辆的行驶里程足以满足大多数驾驶员的使用模式,但电动汽车用户需要类似于加油站的充电基础设施。这主要是由于里程焦虑现象,即电动汽车用户担心由于电池放电而无法到达计划目的地。为了将充电站分布在合适的高能见度地点,从而减少这些问题,我们提出了一种将客户偏好纳入设施位置规划模型的方法。我们的模型是用一个城市地区的例子来评估的,同时考虑了定量(如交通密度)和定性特征。所开发的分配模型能够确定合适的充电站分配地点,为政府和供应商提供决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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