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The Shortest Path Problems in Battery-Electric Vehicle Dispatching with Battery Renewal

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  • Minfang Huang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jing-Quan Li

    (California PATH, University of California, Berkeley, Richmond, CA 94804, USA)

Abstract

Electric vehicles play a key role for developing an eco-sustainable transport system. One critical component of an electric vehicle is its battery, which can be quickly charged or exchanged before it runs out. The problem of electric vehicle dispatching falls into the category of the shortest path problem with resource renewal. In this paper, we study the shortest path problems in (1) electric transit bus scheduling and (2) electric truck routing with time windows. In these applications, a fully-charged battery allows running a limited operational distance, and the battery before depletion needs to be quickly charged or exchanged with a fully-charged one at a battery management facility. The limited distance and battery renewal result in a shortest path problem with resource renewal. We develop a label-correcting algorithm with state space relaxation to find optimal solutions. In the computational experiments, real-world road geometry data are used to generate realistic travel distances, and other types of data are obtained from the real world or randomly generated. The computational results show that the label-correcting algorithm performs very well.

Suggested Citation

  • Minfang Huang & Jing-Quan Li, 2016. "The Shortest Path Problems in Battery-Electric Vehicle Dispatching with Battery Renewal," Sustainability, MDPI, vol. 8(7), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:607-:d:72912
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    References listed on IDEAS

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    Cited by:

    1. Salsabil Gherairi, 2019. "Hybrid Electric Vehicle: Design and Control of a Hybrid System (Fuel Cell/Battery/Ultra-Capacitor) Supplied by Hydrogen," Energies, MDPI, vol. 12(7), pages 1-19, April.
    2. M. E. Kooten Niekerk & J. M. Akker & J. A. Hoogeveen, 2017. "Scheduling electric vehicles," Public Transport, Springer, vol. 9(1), pages 155-176, July.
    3. Liang Gong & Yinzhen Li & Dejie Xu, 2019. "Combinational Scheduling Model Considering Multiple Vehicle Sizes," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    4. Guangwen Zhang & Zhongxing Du & Yaqun He & Haifeng Wang & Weining Xie & Tao Zhang, 2019. "A Sustainable Process for the Recovery of Anode and Cathode Materials Derived from Spent Lithium-Ion Batteries," Sustainability, MDPI, vol. 11(8), pages 1-11, April.
    5. 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.

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