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Towards an Efficient and Real-Time Scheduling Platform for Mobile Charging Vehicles

  • Qi Liu
  • Jinyang Li
  • Xiaoshan Sun
  • Junjie Wang
  • Yang Ning
  • Wei Zheng
  • Jian Li
  • Hengchang Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11336)

Abstract

With increasing environmental awareness from the society, electric vehicles (EVs) have been taking a steady increasing market share each year. Meanwhile, the development of the infrastructure of the public charging facilities for EVs is much more restricted compared to fossil-fuel vehicles. Moreover, the overall charging demand usually significantly varies in both spatial and time domains. As a result, the availability of public charging facilities usually do not match the exact demand during different hours of the day. In this paper, we introduce a new charging facility – mobile charging vehicles (MCVs), which carry batteries that can be used for charging other EVs. We propose three different scheduling strategies of MCVs and evaluate the performance through a real world EVs charging dataset. Our experiment shows that the addition of MCVs to current charging facilities greatly increases the overall charging efficiency, in both waiting time of EVs and the load rate of stations.

Keywords

Mobile charging vehicle Electric vehicle Scheduling strategy 

Notes

Acknowledgment

This work was partially funded by NSFC-61472384. And we are particularly grateful for the cooperation and support from echarge.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Qi Liu
    • 1
  • Jinyang Li
    • 1
  • Xiaoshan Sun
    • 1
  • Junjie Wang
    • 1
  • Yang Ning
    • 1
  • Wei Zheng
    • 2
  • Jian Li
    • 3
  • Hengchang Liu
    • 1
  1. 1.University of Science and Technology of ChinaHefeiChina
  2. 2.Comprehend (Suzhou) Information Technology Inc.SuzhouChina
  3. 3.Evehicle Inc.ShangraoChina

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