用途:无需电动汽车即可移动

L. Bedogni, L. Bononi, M. D. Felice, A. D'Elia, T. S. Cinotti
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引用次数: 1

摘要

根据最近的几项研究,充电操作对用户日常活动造成的开销是阻碍购买电动汽车的主要问题之一。目前,造成这种开销的因素有很多,包括电动汽车行驶里程有限、充电阶段持续时间长、设备车辆服务站(evss)在世界大部分地区的覆盖不均匀等。虽然由于电动汽车和充电基础设施的技术进步,这种情况将在长期内得到改善,但短期内需要基于信息通信技术的解决方案来减少开销。为此,在本文中,我们提出了WhatIF应用程序,这是一个允许规划和模拟电动汽车相关场景的软件。通过手机客户端,我们系统的用户可以登记他们的日常行程,包括驾驶活动和计划停靠。后端模块可以验证电动汽车旅行的可行性,并在计划停止期间安排(最终)充电操作。提出了一种使总带电能量最小的可行能量优化算法。WhatIF应用程序的性能已经在一个大规模的模拟电动汽车场景(即意大利艾米利亚-罗马涅地区)中进行了测试,考虑了现实的道路拓扑、电动汽车自动驾驶系统的位置、电动汽车电池模型和移动模式。仿真结果表明,在停车期间安排充电操作时,76%的电动汽车能够完成行程,从而证实了WhatIF应用程序在减轻电动汽车移动性开销方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WhatIF Application: Moving Electrically without an Electric Vehicle
According to several recent studies, the overhead caused by charging operations to the users' daily activities constitutes one of the main issues discouraging the purchasing of an Electric Vehicle (EV). At present, multiple factors contribute to such overhead, including the limited EV range, the duration of the charging phase, and the non-uniform coverage of the Equipment Vehicle Service Stations (EVSSs) in most areas of the world. Although the situation is going to improve in the long term thanks to the technological advances of the EVs and of the charging infrastructures, ICT-based solutions are needed to minimize the overhead in the short term. To this aim, in this paper we propose the WhatIF application, a software that allows the planning and simulation of EV-related scenarios. Through a mobile client, the users of our system can register their daily journeys, including driving activities and planned stops. A back-end module allows verifying the feasibility of a journey with an EV, scheduling the (eventual) recharging operations during the planned stops. A feasibility energy-optimal algorithm minimizing the overall charged energy is proposed. The performance of the WhatIF application has been tested over a large-scale simulated EV scenario (i.e. the Italian Emilia-Romagna region), considering realistic road topology, EVSSs locations, EV battery models and mobility patterns. Simulation results indicate that 76\% of the EVs are able to complete their journeys when scheduling charging operations during the stops, hence confirming the effectiveness of the WhatIF application in mitigating the overhead of EV mobility.
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