Design of Electric Bus Transit Routes with Charging Stations under Demand Uncertainty

Author:

Su Xiaoqing1,Jiang Lanqing2,Huang Yucheng3

Affiliation:

1. CCCC Second Highway Consultants Co., Ltd., 18 Chuangye Road, Caidian District, Wuhan 430100, China

2. Jiangsu Baisheng Engineering Consultants Co., Ltd., 12F, Block C, Fuying Building, 99 Tuanjie Road, Jianbei New District, Nanjin 210004, China

3. School of Rail Transportation, Soochow University, Suzhou 215137, China

Abstract

This paper investigates the design problem of an electric bus (E-bus) route with charging stations to smooth the operations between E-bus service and charging. The design variables include the locations of E-bus stops, number of charging piles at charging stations, fare, and headway. A mathematical programming model is proposed to maximize social welfare in consideration of the uncertain charging demand at charging stations. The model solution algorithm is also designed. The model and algorithm are demonstrated on the E-bus route 931 in the city of Suzhou, China. The results of the case studies show that (i) the right number of stops on a bus route can contribute to the highest social welfare; (ii) the pile–bus ratio decreases with the increase of E-bus fleet size, thereby improving the E-bus charging efficiency at charging stations; and (iii) deploying charging stations at one end of a bus route can achieve a shorter waiting time for E-bus compared with deployment at two ends.

Funder

Nature Science Foundation of China

Nature Science Foundation of Jiangsu Province

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference41 articles.

1. Ministry of Transport (2021). Statistical Bulletin of Transport Industry Development in 2021. Urban Minist. Transp., Available online: http://www.gov.cn/shuju/2022-05/25/content_5692174.htm.

2. E-bus Charging Facility Planning Method Based on Driving Characteristics;Wu;Smart Grid,2017

3. Ko, Y.D., and Jang, Y.J. (2011, January 23–25). Optimal design of on-line electric vehicle. Proceedings of the 41st International Conference on Computers and Industrial Engineering, Los Angeles, CA, USA.

4. The optimal economic design of the wireless powered intelligent transportation system using genetic algorithm considering nonlinear cost function;Ko;Comput. Ind. Eng.,2015

5. Sheng, M., Sreenivasan, A., Covic, G., Wilson, D., and Sharp, B. (2019, January 18–21). Inductive power transfer charging infrastructure for electric vehicles: A New Zealand case study. Proceedings of the 2019 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW), London, UK.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3