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Planning of Electric Public Transport System under Battery Swap Mode

Author

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  • Wenxiang Li

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Ye Li

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Haopeng Deng

    (State High-Tech Industrial Innovation Center, Shenzhen 518063, China)

  • Lei Bao

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

Abstract

Applying battery electric buses (BEBs) in the city is a good means to reduce the increasing greenhouse gas emissions and crude oil dependence. Limited by the driving range and charging time, battery swap station seems to be the best option for battery electric buses to replenish energy currently. This paper presents a novel method to plan and design an electric public transport system under battery swap mode, which comprised of battery electric buses, routes, scheduling, battery swap station, etc. Thus, new routing and scheduling strategies are proposed for the battery electric bus fleets. Based on swapping and charging demand analysis, this paper establishes an algorithm to calculate the optimal scales of battery swap station, including scales of battery swapping system, battery charging system and battery packs, and power capacity of output. Regarding the case of Xuejiadao battery swap station serving 6 BEB routes in Qingdao, China, a numerical simulation program is established to evaluate the validity of our methods. The results reflect that our methods can optimize the system scales meeting an equivalent state of operation demand. In addition, sensitivity analyses are made to the scales under different values of battery capacity and charging current. It suggests that the scales and cost of battery swap station can be effectively reduced with the development of power battery manufacture and charging technology in future.

Suggested Citation

  • Wenxiang Li & Ye Li & Haopeng Deng & Lei Bao, 2018. "Planning of Electric Public Transport System under Battery Swap Mode," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2528-:d:158764
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    References listed on IDEAS

    as
    1. Wenxiang Li & Ye Li & Jing Fan & Haopeng Deng, 2017. "Siting of Carsharing Stations Based on Spatial Multi-Criteria Evaluation: A Case Study of Shanghai EVCARD," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    2. Ho-Yin Mak & Ying Rong & Zuo-Jun Max Shen, 2013. "Infrastructure Planning for Electric Vehicles with Battery Swapping," Management Science, INFORMS, vol. 59(7), pages 1557-1575, July.
    3. Nie, Yu (Marco) & Ghamami, Mehrnaz, 2013. "A corridor-centric approach to planning electric vehicle charging infrastructure," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 172-190.
    4. Brita Rohrbeck & Kilian Berthold & Felix Hettich, 2018. "Location Planning of Charging Stations for Electric City Buses Considering Battery Ageing Effects," Operations Research Proceedings, in: Natalia Kliewer & Jan Fabian Ehmke & Ralf Borndörfer (ed.), Operations Research Proceedings 2017, pages 701-707, Springer.
    5. Liu, Nian & Chen, Zheng & Liu, Jie & Tang, Xiao & Xiao, Xiangning & Zhang, Jianhua, 2014. "Multi-objective optimization for component capacity of the photovoltaic-based battery switch stations: Towards benefits of economy and environment," Energy, Elsevier, vol. 64(C), pages 779-792.
    6. Axsen, Jonn & Burke, Andy & Kurani, Kenneth S, 2008. "Batteries for Plug-in Hybrid Electric Vehicles (PHEVs): Goals and the State of Technology circa 2008," Institute of Transportation Studies, Working Paper Series qt1bp83874, Institute of Transportation Studies, UC Davis.
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    Cited by:

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    6. Yuping Lin & Kai Zhang & Zuo-Jun Max Shen & Lixin Miao, 2019. "Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    7. Li, Wenxiang & Bao, Lei & Wang, Luqi & Li, Ye & Mai, Xianmin, 2019. "Comparative evaluation of global low-carbon urban transport," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 14-26.
    8. Luo, Xiaoling & Fan, Wenbo, 2023. "Joint design of electric bus transit service and wireless charging facilities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
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