Mobile charging information management for smart grid networks

Shun Neng Yang; Hsiao Wei Wang; Chai Hien Gan; Yi-Bing Lin

doi:10.1016/j.ijinfomgt.2012.11.007

Mobile charging information management for smart grid networks

Shun Neng Yang^*, Hsiao Wei Wang, Chai Hien Gan, Yi-Bing Lin

^*Corresponding author for this work

Institute of Industrial Intelligence and Green Energy

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

With today's electric charging technology, charging time of an electric vehicle (EV) is much longer than that for a gasoline vehicle, and therefore the queueing effect at an EV charging station (CS) may be serious. That is, when an EV arrives at an overloaded CS, it is likely that the EV will wait for a long time before it is charged. This paper investigates the waiting problem for EV charging. We propose a Mobile CS (MCS) management system to dynamically distribute charging pole support that reduces the waiting times of EVs incurred in a fixed CS. A Mobile Charging Information Management System (MC-IMS) is presented to describe the execution flow of the MCS service. Simulation experiments are conducted to investigate the waiting time performance for the proposed mechanism. Our study indicates that the MCS-based MC-IMS provides effective EV charging with short waiting times.

Original language	English
Pages (from-to)	245-251
Number of pages	7
Journal	International Journal of Information Management
Volume	33
Issue number	2
DOIs	https://doi.org/10.1016/j.ijinfomgt.2012.11.007
State	Published - 1 Apr 2013

Keywords

Electric vehicle
Mobile charging information management system
Mobile charging station
Smart grid network

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ijinfomgt.2012.11.007

Cite this

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title = "Mobile charging information management for smart grid networks",

abstract = "With today's electric charging technology, charging time of an electric vehicle (EV) is much longer than that for a gasoline vehicle, and therefore the queueing effect at an EV charging station (CS) may be serious. That is, when an EV arrives at an overloaded CS, it is likely that the EV will wait for a long time before it is charged. This paper investigates the waiting problem for EV charging. We propose a Mobile CS (MCS) management system to dynamically distribute charging pole support that reduces the waiting times of EVs incurred in a fixed CS. A Mobile Charging Information Management System (MC-IMS) is presented to describe the execution flow of the MCS service. Simulation experiments are conducted to investigate the waiting time performance for the proposed mechanism. Our study indicates that the MCS-based MC-IMS provides effective EV charging with short waiting times.",

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T1 - Mobile charging information management for smart grid networks

AU - Yang, Shun Neng

AU - Wang, Hsiao Wei

AU - Gan, Chai Hien

AU - Lin, Yi-Bing

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N2 - With today's electric charging technology, charging time of an electric vehicle (EV) is much longer than that for a gasoline vehicle, and therefore the queueing effect at an EV charging station (CS) may be serious. That is, when an EV arrives at an overloaded CS, it is likely that the EV will wait for a long time before it is charged. This paper investigates the waiting problem for EV charging. We propose a Mobile CS (MCS) management system to dynamically distribute charging pole support that reduces the waiting times of EVs incurred in a fixed CS. A Mobile Charging Information Management System (MC-IMS) is presented to describe the execution flow of the MCS service. Simulation experiments are conducted to investigate the waiting time performance for the proposed mechanism. Our study indicates that the MCS-based MC-IMS provides effective EV charging with short waiting times.

AB - With today's electric charging technology, charging time of an electric vehicle (EV) is much longer than that for a gasoline vehicle, and therefore the queueing effect at an EV charging station (CS) may be serious. That is, when an EV arrives at an overloaded CS, it is likely that the EV will wait for a long time before it is charged. This paper investigates the waiting problem for EV charging. We propose a Mobile CS (MCS) management system to dynamically distribute charging pole support that reduces the waiting times of EVs incurred in a fixed CS. A Mobile Charging Information Management System (MC-IMS) is presented to describe the execution flow of the MCS service. Simulation experiments are conducted to investigate the waiting time performance for the proposed mechanism. Our study indicates that the MCS-based MC-IMS provides effective EV charging with short waiting times.

KW - Electric vehicle

KW - Mobile charging information management system

KW - Mobile charging station

KW - Smart grid network

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Mobile charging information management for smart grid networks

Abstract

Keywords

UN SDGs

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