Spatiotemporal Energy Demand Models for Electric Vehicles
Spatiotemporal Energy Demand Models for Electric Vehicles
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DOI：
10.1109/tvt.2015.2502249
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发表时间：
2016-03
影响因子：
6.8
通讯作者：
Zonggen Yi;P. Bauer
中科院分区：
文献类型：
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作者：
Zonggen Yi;P. Bauer
为了改善大面积可持续交通的能源管理，本文建立了电动汽车（EV）在城市地区的能源需求作为位置和时间的函数。充电基础设施的能量供应的一个重要考虑因素是将本地充电能量需求表征为时间的函数。时空公式推导出了一些情况下，从个别车辆的全球区域的需求来描述他们的三维动态功能。此外，通过考虑真实的情况，例如，停车时间、剩余电池能量以及到达和离开模式。所提出的充电紧迫性模型描述了充电行动的概率，然后计算在城市地区的感知能源需求。此外，详细的模拟和分析已经进行了模拟城市的基础上，显示所介绍的能源需求模型的基本特征。
Aiming to improve the energy management in large areas for sustainable transportation, this paper models the energy demand of electric vehicles (EVs) in an urban area as a function of location and time. One important consideration for the energy supply of a charging infrastructure is the characterization of the local charge energy demand as a function of time. Spatiotemporal formulations are derived for a number of scenarios, ranging from individual vehicles to global area demands to describe their three-dimension dynamical features. Furthermore, the perceived charging demand is modeled by considering real situations, e.g., parking time, remaining battery energy, and arrival and departure patterns. The proposed charging urgency model describes the probability of charging actions and then computes the perceived energy need in an urban area. Additionally, detailed simulations and analyses have been performed based on a simulated city to show the essential features of the introduced energy demand models.