A Performance Model for Single Charger Multi-Socket Charging Stations in Shared Mobility Systems

Elisabetta Biondi, R. Bruno
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引用次数: 3

Abstract

It is commonly recognised that the availability of more pervasive networks of public fast-charging stations is a key incentive for the market growth of electric vehicles (EVs). In order to reduce the huge capital investments that are needed for the deployment of such charging infrastructure, new types of charging facilities have been proposed, which allow to charge several EVs simultaneously by sharing the resources of a single charger over multiple co-located charging sockets. To characterise the behaviour of a single-charger multiple-socket (SCMS) system under stochastic EV charging demands, in this work we propose a continuous time and discrete state space Markov chain model. Our analytical model applies to scenarios in which the duration of charging periods is uncertain. This typically occurs in shared mobility systems (e.g., car sharing services) in which customers randomly arrive at the charging station to pick up available shared EVs. We examine two scenarios of increasing complexity. In the first one, customers can pick up only fully-charged EVs. In the second scenario, EVs can leave the station before the charging process is complete. Our numerical results assess the impact of station capacity (both physical space and grid connection) on the system performance from the perspective of both the customers and the infrastructure owner.
共享出行系统中单充电器多插座充电站的性能模型
人们普遍认为,公共快速充电站网络的普及是电动汽车市场增长的关键动力。为了减少部署此类充电基础设施所需的巨额资本投资,人们提出了新型充电设施,通过在多个共存的充电插座上共享单个充电器的资源,可以同时为多辆电动汽车充电。为了描述随机电动汽车充电需求下单充电器多插座(SCMS)系统的行为,本文提出了一个连续时间和离散状态空间的马尔可夫链模型。我们的分析模型适用于充电周期持续时间不确定的情况。这通常发生在共享移动系统(例如,汽车共享服务)中,客户随机到达充电站取可用的共享电动汽车。我们将研究两种日益复杂的场景。在第一个项目中,顾客只能选择充满电的电动汽车。在第二种情况下,电动汽车可以在充电过程完成之前离开充电站。我们的数值结果从客户和基础设施所有者的角度评估了车站容量(物理空间和电网连接)对系统性能的影响。
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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