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
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
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.
KW - Artificial Intelligence
KW - Electric Vehicles
KW - Renewable Energy Integration
KW - Smart Grid
KW - Sustainability
UR - https://www.scopus.com/pages/publications/85184300529
U2 - 10.1007/978-3-031-50485-3_17
DO - 10.1007/978-3-031-50485-3_17
M3 - Conference Publication
AN - SCOPUS:85184300529
SN - 9783031504846
T3 - Communications in Computer and Information Science
SP - 178
EP - 186
BT - Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings
A2 - Nowaczyk, Sławomir
A2 - Biecek, Przemysław
A2 - Chung, Neo Christopher
A2 - Vallati, Mauro
A2 - Skruch, Paweł
A2 - Jaworek-Korjakowska, Joanna
A2 - Parkinson, Simon
A2 - Nikitas, Alexandros
A2 - Atzmüller, Martin
A2 - Kliegr, Tomáš
A2 - Schmid, Ute
A2 - Bobek, Szymon
A2 - Lavrac, Nada
A2 - Peeters, Marieke
A2 - van Dierendonck, Roland
A2 - Robben, Saskia
A2 - Mercier-Laurent, Eunika
A2 - Kayakutlu, Gülgün
A2 - Owoc, Mieczyslaw Lech
A2 - Mason, Karl
A2 - Wahid, Abdul
A2 - Bruno, Pierangela
A2 - Calimeri, Francesco
A2 - Cauteruccio, Francesco
A2 - Terracina, Giorgio
A2 - Wolter, Diedrich
A2 - Leidner, Jochen L.
A2 - Kohlhase, Michael
A2 - Dimitrova, Vania
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023
Y2 - 30 September 2023 through 4 October 2023
ER -
