An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration

被引：0

作者：

Hua, Weiqi ^{[1
]}

Mullen, Daniel ^{[2
]}

Wahid, Abdul ^{[3
]}

Sitabkhan, Khadija ^{[3
]}

Mason, Karl ^{[3
]}

机构：

[1] Univ Birmingham, Dept Elect Elect & Syst Engn, Birmingham B15 2TT, W Midlands, England

[2] Univ Edinburgh, Sch Engn, Edinburgh EH9 3DW, Midlothian, Scotland

[3] Univ Galway, Sch Comp Sci, Galway H91 FYH2, Ireland

来源：

ARTIFICIAL INTELLIGENCE-ECAI 2023 INTERNATIONAL WORKSHOPS, PT 2, XAI3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, 2023 | 2024年 / 1948卷

关键词：

Artificial Intelligence; Electric Vehicles; Smart Grid; Sustainability; Renewable Energy Integration;

D O I：

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

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：178 / 186

页数：9

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