不同交通和容量条件下收费基础设施使用的优化

C. Bodet, A. Schülke, K. Erickson, Rafal Jablonowski
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引用次数: 12

摘要

在未来的能源格局中,发电与需求平衡的智能管理将受到高度关注。交通运输向电气化的转变是未来努力的关键部分,但在与可再生能源供应保持一致方面也是一个巨大的挑战。本文研究了电动汽车充电容量管理问题,重点研究了高速公路长途交通可持续电动汽车充电容量问题。该方法基于智能动态充电分配的概念,综合考虑交通信息、用户信息和充电设施信息的各种参数,通过提高充电设施的利用率和最大化能源使用来优化充电设施的使用,在给定的交通条件下实现更高的电动汽车吞吐量,并符合用户偏好和电动汽车特性。在不同参数变化的仿真环境中对优化结果进行了验证。通过动态分配,在每个位置相同的充电站部署下,基础设施的利用率可以提高30%。这也反映在受等待时间限制的电动汽车吞吐量的增加上。给出的研究表明,通过提出的动态分配方法,吞吐量效率提高了30%。充电基础设施的重组也在考虑之中。虽然能源利用率本身的增加幅度较小,但等待时间方面用户体验的改善对用户满意度的影响更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of charging infrastructure usage under varying traffic and capacity conditions
In the future energy landscape, high attention will be paid to the intelligent management of the balance between generation and demand. The shift of transportation towards electrification is a crucial part of the future efforts, but also a great challenge regarding the alignment with renewable energy supply. In this paper, we investigate the EV charging capacity management, with a focus on sustainable electric vehicle (EV) charging capacity for long-distance traffic on highways. The proposed method is based upon the concept of an Intelligent Dynamic Charging Assignment which takes various parameters of traffic information, user information and charging facility information into account in order to optimize charging facility usage by increasing its utilization and maximizing the energy usage, enable higher EV throughput in given traffic conditions and comply with user preferences and EV car characteristics. The optimization results have been validated in a simulation environment with different parameter variations. With the dynamic assignment, an increase of 30% of the utilization of the infrastructure with equal charging station deployment at each location can be reached. This is also reflected in an increase of the throughput of the EVs which is limited by waiting times. The given studies show a 30% higher throughput efficiency through the proposed dynamic assignment method. A reshuffling of the charging infrastructure is also considered. While the energy utilization itself increases to a small extend, the improvement on user experience regarding waiting times has a greater impact towards user satisfaction.
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