电动汽车快速充电在城市环境中的作用:基于代理模型的方法

IF 15 1区 工程技术 Q1 ENERGY & FUELS Etransportation Pub Date : 2024-10-22 DOI:10.1016/j.etran.2024.100369
F. Hipolito , J. Rich , Peter Bach Andersen
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引用次数: 0

摘要

本文采用基于代理的模拟方法,研究了快速充电基础设施在城市环境中的作用。仿真模型跟踪电动汽车(EV)的空间和时间行为,有助于对充电基础设施的部署进行全面分析。值得注意的是,该模型纳入了非参数排队动态、等待时间信息共享和不同的代理特征,从而加深了对主题的理解。该研究以腓特烈斯贝格市和哥本哈根市的大规模实施为基础,通过证明几个关键点来倡导采用快速充电器。首先,信息共享可显著减少等待时间,尤其是在快速充电网络内,在需求高峰期可减少多达 30% 的等待时间。其次,由 10-14 个网点组成的大型快充集群优于小型集群,这主要是由于信息共享缩短了等待时间并提高了等待时间预测的准确性。第三,基于未满足需求指标的投放策略比仅由观察到的需求模式驱动的投放策略效果更好。通过有效监控观察到的需求和未满足的需求,这些策略往往能更好地优化充电基础设施的布局。这些见解来自于模拟框架的复杂性和异质性,凸显了信息和未满足需求在这一领域的价值。
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The role of EV fast charging in the urban context: An agent-based model approach
Using an agent-based simulation approach, this paper investigates the role of fast-charging infrastructure in urban environments. The simulation model tracks the spatial and temporal behaviours of electric vehicles (EVs), facilitating a comprehensive analysis of the deployment of charging infrastructure. Notably, the model incorporates non-parametric queuing dynamics, information-sharing regarding waiting times, and diverse agent characteristics, deepening insights into the subject matter. Drawing on a large-scale implementation in the municipalities of Frederiksberg and Copenhagen, the study advocates for adopting fast chargers by demonstrating several key points. Firstly, information-sharing significantly reduces waiting times, particularly within the fast-charging network, with potential reductions of up to 30% during peak demand periods. Secondly, larger fast-charging clusters comprising 10–14 outlets outperform smaller clusters, primarily due to reduced waiting times and enhanced prediction accuracy of waiting times, which is a consequence of the information-sharing. Thirdly, placement strategies based on unserved demand metrics yield superior outcomes than those solely driven by observed demand patterns. By effectively monitoring both observed and unmet demand, these strategies tend to better optimize charging infrastructure placement. These insights, which emerge from the sophisticated and heterogeneous nature of the simulation framework, highlight the value of information and unserved demand in this field.
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来源期刊
Etransportation
Etransportation Engineering-Automotive Engineering
CiteScore
19.80
自引率
12.60%
发文量
57
审稿时长
39 days
期刊介绍: eTransportation is a scholarly journal that aims to advance knowledge in the field of electric transportation. It focuses on all modes of transportation that utilize electricity as their primary source of energy, including electric vehicles, trains, ships, and aircraft. The journal covers all stages of research, development, and testing of new technologies, systems, and devices related to electrical transportation. The journal welcomes the use of simulation and analysis tools at the system, transport, or device level. Its primary emphasis is on the study of the electrical and electronic aspects of transportation systems. However, it also considers research on mechanical parts or subsystems of vehicles if there is a clear interaction with electrical or electronic equipment. Please note that this journal excludes other aspects such as sociological, political, regulatory, or environmental factors from its scope.
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