摘要
为解决充电站排队难、成本高等问题,提高排队效率,通过分析校园电动汽车停车需求特性,对该地区机动车保有量增长率和校园电动汽车渗透率进行预测,并在此基础上以充电设施排队系统单位时间的总费用最小为目标建立排队模型。通过输入不同模型参数如到达率、服务率等,输出模型所得排队费用,并利用边际分析法求得最优解,确定校园充电设施数量。最后通过实例分析进一步证明了所建模型的实用性和有效性。
This paper predicts the penetration rate of campus electric vehicles by analyzing the motor vehicle population growth rate in the region and the parking demand characteristics of campus electric vehicles,in order to solve the problem of difficulty in queuing charging stations,high costs,and improving the efficiency of queuing. It builds a queuing model based on the goal of minimizing the total cost per unit time of the charging facility queuing system. By inputting different model parameters such as arrival rate,service rate,etc.,it outputs the queuing costs obtained by the model. The optimal solution is obtained through the marginal analysis method,and the number of campus charging facilities is determined. The example analysis further proves the practicability and effectiveness of the model.
作者
周智文
马健霄
韩正大
汪子恒
ZHOU Zhi-wen;MA Jian-xiao;HAN Zheng-da;WANG Zi-heng(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nanjing 210037,China)
出处
《物流工程与管理》
2019年第1期101-104,共4页
Logistics Engineering and Management
基金
江苏省交通运输科技项目计划(2016T04)
关键词
充电设施
排队论
优化定量
charging facilities
queuing theory
quantification
