research-article

Planning Mobile Charging Vehicles Based on User Charging Behavior

Authors:

Hengchang LiuAuthors Info & Claims

IoPARTS'18: Proceedings of the 1st International Workshop on Internet of People, Assistive Robots and Things

Pages 37 - 42

https://doi.org/10.1145/3215525.3215535

Published: 10 June 2018 Publication History

Abstract

With increasing environmental awareness from the society, electric vehicles (EVs) have been taking a steady increasing market share each year. Meanwhile, the overall charging demand usually significantly varies in both spatial and time domains. So the availability of public charging facilities usually do not match the exact demand during different hours of the day. However, the rapid development of driverless technology provides a new possibility to solve this problem. Unmanned EVs not only facilitates the collection of integrated datasets, but also reduce the user's impact on charging events. In this paper, we introduce a new charging facility - mobile charging vehicles (MCVs), which has dedicated personnel on duty and carries 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 increase the charging efficiency, in both waiting time of EVs and the load rate of stations.

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Cited By

Erdeş HKesen S(2023)Business Models for Electric Vehicle Fixed Charging Station Infrastructure with Commercial and Non-commercial UsesAdvances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures10.1007/978-3-031-43670-3_19(271-286)Online publication date: 14-Sep-2023
https://doi.org/10.1007/978-3-031-43670-3_19
Wang JZhao W(2021)Research on Distribution Strategy of Charging Piles for Electric VehiclesIOP Conference Series: Earth and Environmental Science10.1088/1755-1315/781/4/042003781:4(042003)Online publication date: 1-May-2021
https://doi.org/10.1088/1755-1315/781/4/042003
Parastvand HMoghaddam VBass OMasoum MChapman ALachowicz S(2020)A Graph Automorphic Approach for Placement and Sizing of Charging Stations in EV Network Considering TrafficIEEE Transactions on Smart Grid10.1109/TSG.2020.298403711:5(4190-4200)Online publication date: Sep-2020
https://doi.org/10.1109/TSG.2020.2984037

Index Terms

Planning Mobile Charging Vehicles Based on User Charging Behavior
1. Computer systems organization
  1. Embedded and cyber-physical systems

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cover image ACM Conferences

IoPARTS'18: Proceedings of the 1st International Workshop on Internet of People, Assistive Robots and Things

June 2018

72 pages

ISBN:9781450358439

DOI:10.1145/3215525

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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SIGOPS: ACM Special Interest Group on Operating Systems

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Published: 10 June 2018

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National Natural Science Foundation of China

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MobiSys '18

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SIGMOBILE

MobiSys '18: The 16th Annual International Conference on Mobile Systems, Applications, and Services

June 10, 2018

Munich, Germany

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Cited By

Erdeş HKesen S(2023)Business Models for Electric Vehicle Fixed Charging Station Infrastructure with Commercial and Non-commercial UsesAdvances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures10.1007/978-3-031-43670-3_19(271-286)Online publication date: 14-Sep-2023
https://doi.org/10.1007/978-3-031-43670-3_19
Wang JZhao W(2021)Research on Distribution Strategy of Charging Piles for Electric VehiclesIOP Conference Series: Earth and Environmental Science10.1088/1755-1315/781/4/042003781:4(042003)Online publication date: 1-May-2021
https://doi.org/10.1088/1755-1315/781/4/042003
Parastvand HMoghaddam VBass OMasoum MChapman ALachowicz S(2020)A Graph Automorphic Approach for Placement and Sizing of Charging Stations in EV Network Considering TrafficIEEE Transactions on Smart Grid10.1109/TSG.2020.298403711:5(4190-4200)Online publication date: Sep-2020
https://doi.org/10.1109/TSG.2020.2984037

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