Conference Papers Year : 2024

Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey

Daniel Mullen
  • Function : Author
  • PersonId : 1507823
Abdul Wahid
  • Function : Author
  • PersonId : 1507824
Khadija Sitabkhan
  • Function : Author
  • PersonId : 1507825
Karl Mason
  • Function : Author
  • PersonId : 1507826

Abstract

Electric vehicles play an important role in the global transition to “Net Zero” and the decarbonisation of point source emissions from road transport, as their market share continues to grow each year. However, integrating these electric vehicles into existing electricity grids, refuelling stations and supply chains presents significant challenges. But most challenges can be effectively addressed through the implementation of artificial intelligence solutions. This paper starts with an introduction to artificial intelligence and an investigation of the challenges associated with the widespread adoption of electric vehicles in society. Then, the paper analyses in detail how artificial intelligence can facilitate the smooth integration of electric vehicles. In addition, the paper provides a detailed investigation of the life-cycle emissions of electric vehicles and examines the limitations of existing research in this area and suggests potential avenues for future research.
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Friday, January 1, 2027
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Friday, January 1, 2027
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hal-04948690 , version 1 (14-02-2025)

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Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason. Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey. 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KMES), Sep 2023, Krakow, Poland. pp.92-115, ⟨10.1007/978-3-031-61069-1_8⟩. ⟨hal-04948690⟩
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