Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City

Yue Cao; Naveed Ahmad; Omprakash Kaiwartya; Ghanim Putrus; Muhammad Khalid

Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City

Yue Cao, Naveed Ahmad, Omprakash Kaiwartya, Ghanim Putrus, Muhammad Khalid

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

34 Citations (Scopus)

Abstract

In the future, Electric Vehicles (EVs) are expected to be widely adopted as personal, commercial, and public fleets in modern cities. The popularity of EVs will have a significant impact on the sustainable and economic development of urban city. However, compared to traditional fossil fuel vehicles, EVs have limited range and inevitably necessitate regular recharging. Thus, the provisioning of assured service quality is necessary for realizing E-mobility solution using EVs.

The design of an efficient charging management system for EVs has become an emerging research problem in future connected vehicles applications, given their mobility uncertainties. Major technical challenges involve decision-making intelligence for the selection of Charging Stations (CSs), as well as the corresponding communication infrastructure for information dissemination between the power grid and mobile EVs. This chapter introduces a number of information enabling technologies that been applied for EV charging, viewed from a transportation planning angle.

Original language	English
Title of host publication	Smart Cities: Software Services and Cyber Infrastructure
Publisher	Springer
Pages	311-354
ISBN (Electronic)	978-3-319-97271-8
ISBN (Print)	978-3-319-97270-1
Publication status	Published - 2018

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 17 Partnerships for the Goals

Keywords

Electric Vehicle
Transportation Planning
Charging Management
Wireless Communication
Mobile Edge Computing
Vehicle-to-Vehicle
Mobility

Cite this

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title = "Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City",

abstract = "In the future, Electric Vehicles (EVs) are expected to be widely adopted as personal, commercial, and public fleets in modern cities. The popularity of EVs will have a significant impact on the sustainable and economic development of urban city. However, compared to traditional fossil fuel vehicles, EVs have limited range and inevitably necessitate regular recharging. Thus, the provisioning of assured service quality is necessary for realizing E-mobility solution using EVs. The design of an efficient charging management system for EVs has become an emerging research problem in future connected vehicles applications, given their mobility uncertainties. Major technical challenges involve decision-making intelligence for the selection of Charging Stations (CSs), as well as the corresponding communication infrastructure for information dissemination between the power grid and mobile EVs. This chapter introduces a number of information enabling technologies that been applied for EV charging, viewed from a transportation planning angle.",

keywords = "Electric Vehicle, Transportation Planning, Charging Management, Wireless Communication, Mobile Edge Computing, Vehicle-to-Vehicle, Mobility",

author = "Yue Cao and Naveed Ahmad and Omprakash Kaiwartya and Ghanim Putrus and Muhammad Khalid",

year = "2018",

language = "English",

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address = "Germany",

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TY - CHAP

T1 - Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City

AU - Cao, Yue

AU - Ahmad, Naveed

AU - Kaiwartya, Omprakash

AU - Putrus, Ghanim

AU - Khalid, Muhammad

PY - 2018

Y1 - 2018

N2 - In the future, Electric Vehicles (EVs) are expected to be widely adopted as personal, commercial, and public fleets in modern cities. The popularity of EVs will have a significant impact on the sustainable and economic development of urban city. However, compared to traditional fossil fuel vehicles, EVs have limited range and inevitably necessitate regular recharging. Thus, the provisioning of assured service quality is necessary for realizing E-mobility solution using EVs. The design of an efficient charging management system for EVs has become an emerging research problem in future connected vehicles applications, given their mobility uncertainties. Major technical challenges involve decision-making intelligence for the selection of Charging Stations (CSs), as well as the corresponding communication infrastructure for information dissemination between the power grid and mobile EVs. This chapter introduces a number of information enabling technologies that been applied for EV charging, viewed from a transportation planning angle.

AB - In the future, Electric Vehicles (EVs) are expected to be widely adopted as personal, commercial, and public fleets in modern cities. The popularity of EVs will have a significant impact on the sustainable and economic development of urban city. However, compared to traditional fossil fuel vehicles, EVs have limited range and inevitably necessitate regular recharging. Thus, the provisioning of assured service quality is necessary for realizing E-mobility solution using EVs. The design of an efficient charging management system for EVs has become an emerging research problem in future connected vehicles applications, given their mobility uncertainties. Major technical challenges involve decision-making intelligence for the selection of Charging Stations (CSs), as well as the corresponding communication infrastructure for information dissemination between the power grid and mobile EVs. This chapter introduces a number of information enabling technologies that been applied for EV charging, viewed from a transportation planning angle.

KW - Electric Vehicle

KW - Transportation Planning

KW - Charging Management

KW - Wireless Communication

KW - Mobile Edge Computing

KW - Vehicle-to-Vehicle

KW - Mobility

UR - https://www.scopus.com/pages/publications/85068251783

M3 - Chapter

SN - 978-3-319-97270-1

SP - 311

EP - 354

BT - Smart Cities: Software Services and Cyber Infrastructure

PB - Springer

ER -

Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City

Abstract

UN SDGs

Keywords

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