Optimal electric bus fleet scheduling for a route with charging facility sharing

被引:60
作者
Ji, Jinhua [1 ]
Bie, Yiming [1 ]
Wang, Linhong [1 ]
机构
[1] Jilin Univ, Sch Transportat, Changchun 130022, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Electric bus; Vehicle scheduling; Charging facility sharing; Optimization model; INFRASTRUCTURE; OPERATIONS;
D O I
10.1016/j.trc.2022.104010
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
To alleviate the shortage of charging facilities for electric cars (ECs) and increase the utilization rate of charging facilities for electric buses (EBs), we propose a charging facility sharing strategy that allows charging piles of EBs to be utilized by ECs for a fee during certain time windows. A nonlinear integer programming model is first developed with multiple objectives, including minimizing the average daily acquisition and charging costs of the EB route, minimizing the time costs for ECs waiting for charging, and maximizing the charging revenues from ECs, to collaboratively achieve the vehicle type allowed to be charged at each time window, daily service trips and charging trips allocated to each EB. Subsequently, an algorithm is developed to solve the formulated optimization model by combining the enumeration method and branch and price to address nonlinearity. Finally, a real EB route in Meihekou, Jilin Province, China, is taken as an example to verify the effectiveness of the proposed method. Results show that the charging facility sharing strategy can increase revenue for public transit companies and facilitate the charging of ECs without disrupting the timetable of EBs, which promises a win-win measure for both public transit companies and EC users.
引用
收藏
页数:21
相关论文
共 61 条
[1]   Evaluating and Optimizing Opportunity Fast-Charging Schedules in Transit Battery Electric Bus Networks [J].
Abdelwahed, Ayman ;
van den Berg, Pieter L. ;
Brandt, Tobias ;
Collins, John ;
Ketter, Wolfgang .
TRANSPORTATION SCIENCE, 2020, 54 (06) :1601-1615
[2]   An exact solution approach for an electric bus dispatch problem [J].
Alvo, Matias ;
Angulo, Gustavo ;
Klapp, Mathias A. .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2021, 156
[3]   Battery electric bus infrastructure planning under demand uncertainty [J].
An, Kun .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 111 :572-587
[4]  
[Anonymous], 2021, ELECT BUSES US NEW A
[5]   Spatial and Temporal Model of Electric Vehicle Charging Demand [J].
Bae, Sungwoo ;
Kwasinski, Alexis .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (01) :394-403
[6]   Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption [J].
Bie, Yiming ;
Ji, Jinhua ;
Wang, Xiangyu ;
Qu, Xiaobo .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2021, 36 (12) :1530-1548
[7]   Optimal Electric Bus Scheduling Based on the Combination of All-Stop and Short-Turning Strategies [J].
Bie, Yiming ;
Hao, Mingjie ;
Guo, Mengzhu .
SUSTAINABILITY, 2021, 13 (04) :1-21
[8]   Public-transport vehicle scheduling with multi vehicle type [J].
Ceder, Avishai .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2011, 19 (03) :485-497
[9]   A Survey on Electric Buses-Energy Storage, Power Management, and Charging Scheduling [J].
Deng, Ruilong ;
Liu, Yuan ;
Chen, Wenzhuo ;
Liang, Hao .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (01) :9-22
[10]   On the integration of battery electric buses into urban bus networks [J].
Dirks, Nicolas ;
Schiffer, Maximilian ;
Walther, Grit .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 139