高速公路沿线高效移动的电动汽车充电基础设施的战略方法:西班牙的真实案例研究

Alessandro Saldarini, S. Miraftabzadeh, M. Brenna, M. Longo
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引用次数: 0

摘要

近年来,电动汽车(EV)市场呈指数级增长,这就是为什么公共充电站的分配网络将受到扩展和升级的原因。为了改善公共充电基础设施,本文旨在开发一个模型,能够分析一段高速公路的现状,识别由于在充电点排队而产生的拥堵点。选择西班牙某高速公路的特定路段作为案例研究来评估该模型的性能,允许在真实场景中对其性能进行严格的测试和彻底的分析。第一步是定义和评估影响电动汽车消费的因素,如道路坡度、天气条件和驾驶风格。随后,利用基于agent的仿真软件AnyLogic建立仿真模型,在考虑电池充放电过程的情况下,对一组电动汽车的行驶过程进行仿真。在此基础上,对充电基础设施进行了改进,以最大限度地减少电动汽车长途行驶的总行驶时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic Approach for Electric Vehicle Charging Infrastructure for Efficient Mobility along Highways: A Real Case Study in Spain
The Electric Vehicle (EV) market has been growing exponentially in recent years, which is why the distribution network of public charging stations will be subject to expansion and upgrading. In order to improve the public charging infrastructure, this paper aims to develop a model capable of analyzing the current situation of a stretch of highway, identifying the congestion points, created by the formation of queues at the charging points. A specific section of a highway in Spain was selected as a case study to evaluate the performance of the model, allowing for rigorous testing and thorough analysis of its performance in a real-world scenario. The first step is to define and evaluate the effects of factors affecting EV consumption, such as the slope of the road, weather conditions, and driving style. Subsequently, a simulation model is developed using the agent-based simulation software AnyLogic, which simulates the journey of a fleet of electric vehicles, taking into account the battery charging and discharging process. Based on the obtained results, the charging infrastructure is improved to minimize the total travel time of an electric vehicle on a long-distance trip.
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