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 -