An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration

Weiqi Hua; Daniel Mullen; Abdul Wahid; Khadija Sitabkhan; Karl Mason

doi:10.1007/978-3-031-50485-3_17

An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration

Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Electric vehicles are growing in market penetration annually. They are expected to play a significant role in decarbonising road transport point source emissions and supporting the global transition to Net Zero. Integrating these electric vehicles into the existing electricity networks, supply chain and refueling infrastructure presents difficulties. However, appropriately deployed artificial intelligence solutions can address many of these challenges. This paper investigates the issues facing the integration of electric vehicles into society as well as providing an introduction into artificial intelligence. This paper then provides a comprehensive overview of the applications of artificial intelligence to electric vehicle integration. Limitations of the current research in this area are outlined, and promising future research directions are discussed.

Original language	English
Title of host publication	Artificial Intelligence
Subtitle of host publication	ECAI 2023 International Workshops
Publisher	Springer
Pages	178-185
Volume	2
ISBN (Electronic)	9783031504853
ISBN (Print)	9783031504846
DOIs	https://doi.org/10.1007/978-3-031-50485-3_17
Publication status	Published - 25 Jan 2023
Event	26th European Conference on Artificial Intelligence, ECAI 2023 - Krakow, Poland Duration: 30 Sept 2023 → 4 Oct 2023

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	1948
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	26th European Conference on Artificial Intelligence, ECAI 2023
Country/Territory	Poland
City	Krakow
Period	30/09/23 → 4/10/23

Access to Document

10.1007/978-3-031-50485-3_17Licence: None: All rights reserved

Cite this

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title = "An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration",

abstract = "Electric vehicles are growing in market penetration annually. They are expected to play a significant role in decarbonising road transport point source emissions and supporting the global transition to Net Zero. Integrating these electric vehicles into the existing electricity networks, supply chain and refueling infrastructure presents difficulties. However, appropriately deployed artificial intelligence solutions can address many of these challenges. This paper investigates the issues facing the integration of electric vehicles into society as well as providing an introduction into artificial intelligence. This paper then provides a comprehensive overview of the applications of artificial intelligence to electric vehicle integration. Limitations of the current research in this area are outlined, and promising future research directions are discussed.",

author = "Weiqi Hua and Daniel Mullen and Abdul Wahid and Khadija Sitabkhan and Karl Mason",

year = "2023",

month = jan,

day = "25",

doi = "10.1007/978-3-031-50485-3_17",

language = "English",

isbn = "9783031504846",

volume = "2",

series = "Communications in Computer and Information Science",

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pages = "178--185",

booktitle = "Artificial Intelligence",

note = "26th European Conference on Artificial Intelligence, ECAI 2023 ; Conference date: 30-09-2023 Through 04-10-2023",

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Hua, W, Mullen, D, Wahid, A, Sitabkhan, K & Mason, K 2023, An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration. in Artificial Intelligence: ECAI 2023 International Workshops . vol. 2, Communications in Computer and Information Science, vol. 1948, Springer, pp. 178-185, 26th European Conference on Artificial Intelligence, ECAI 2023, Krakow, Poland, 30/09/23. https://doi.org/10.1007/978-3-031-50485-3_17

An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration. / Hua, Weiqi; Mullen, Daniel; Wahid, Abdul et al.
Artificial Intelligence: ECAI 2023 International Workshops . Vol. 2 Springer, 2023. p. 178-185 (Communications in Computer and Information Science; Vol. 1948).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration

AU - Hua, Weiqi

AU - Mullen, Daniel

AU - Wahid, Abdul

AU - Sitabkhan, Khadija

AU - Mason, Karl

PY - 2023/1/25

Y1 - 2023/1/25

N2 - Electric vehicles are growing in market penetration annually. They are expected to play a significant role in decarbonising road transport point source emissions and supporting the global transition to Net Zero. Integrating these electric vehicles into the existing electricity networks, supply chain and refueling infrastructure presents difficulties. However, appropriately deployed artificial intelligence solutions can address many of these challenges. This paper investigates the issues facing the integration of electric vehicles into society as well as providing an introduction into artificial intelligence. This paper then provides a comprehensive overview of the applications of artificial intelligence to electric vehicle integration. Limitations of the current research in this area are outlined, and promising future research directions are discussed.

AB - Electric vehicles are growing in market penetration annually. They are expected to play a significant role in decarbonising road transport point source emissions and supporting the global transition to Net Zero. Integrating these electric vehicles into the existing electricity networks, supply chain and refueling infrastructure presents difficulties. However, appropriately deployed artificial intelligence solutions can address many of these challenges. This paper investigates the issues facing the integration of electric vehicles into society as well as providing an introduction into artificial intelligence. This paper then provides a comprehensive overview of the applications of artificial intelligence to electric vehicle integration. Limitations of the current research in this area are outlined, and promising future research directions are discussed.

U2 - 10.1007/978-3-031-50485-3_17

DO - 10.1007/978-3-031-50485-3_17

M3 - Conference contribution

SN - 9783031504846

VL - 2

T3 - Communications in Computer and Information Science

SP - 178

EP - 185

BT - Artificial Intelligence

PB - Springer

T2 - 26th European Conference on Artificial Intelligence, ECAI 2023

Y2 - 30 September 2023 through 4 October 2023

ER -

An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration

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