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计算机系统应用英文版:2021,30(7):178-183
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基于实时路况的电动汽车充电调度算法
(1.长安大学 信息工程学院, 西安 710054;2.中兴通讯股份有限公司长沙分公司, 长沙 410005)
Electric Vehicle Charging Scheduling Algorithm Based on Traffic Condition
(1.School of Information Engineering, Chang’an University, Xi’an 710054, China;2.Changsha Branch, ZTE Co. Ltd., Changsha 410005, China)
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Received:November 01, 2020    Revised:December 02, 2020
中文摘要: 随着电动汽车行业在我国蓬勃发展, 电动汽车的“充电难”问题逐渐显现, 已经逐步成为限制电动汽车行业发展的瓶颈. 电动汽车充电时间长, 城市充电桩数目不足且时空分布不均等问题是导致“充电难”的直接原因. 本文提出一种基于路况的电动汽车充电调度算法, 通过综合考虑路网内的实际情况, 对充电车辆进行统一调度. 文章建立了车辆调度模型并进行了仿真模拟, 结果表明: 该算法能够有效降低电动汽车的充电时间、平衡区域内充电站的负载、提升全局的充电效率.
Abstract:With the vigorous development of the electric vehicle industry in China, the problem of charging electric vehicles has gradually emerged and become a bottleneck restricting the development of this industry. The long charging time of electric vehicles, the insufficient number of urban charging piles and the uneven distribution of urban charging stations are the direct reasons for the charging problem. We propose a charging scheduling algorithm for electric vehicles based on traffic conditions. It schedules the charging vehicles in a unified manner by comprehensively considering the actual situation in the road network. In addition, a vehicle scheduling model is established and simulation experiments are carried out. The results show that the algorithm can reduce the charging time of electric vehicles, balance the loads of charging stations in a region, and improve the overall charging efficiency.
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基金项目:国家自然科学基金(61902039);陕西省重点研发计划(2019GY-070)
引用文本:
李红章,杨金辉,朱家伟,安毅生.基于实时路况的电动汽车充电调度算法.计算机系统应用,2021,30(7):178-183
LI Hong-Zhang,YANG Jin-Hui,ZHU Jia-Wei,AN Yi-Sheng.Electric Vehicle Charging Scheduling Algorithm Based on Traffic Condition.COMPUTER SYSTEMS APPLICATIONS,2021,30(7):178-183