Toward Intelligent Communication and Optimization in EVs:: A tutorial on the Transformative Impact of Large Language Models

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The integration of the large language model (LLM) technology in electric vehicles (EVs) has sparked a significant leap forward in the evolution of intelligent transportation. LLM technology enables real-time, context-aware communication, thereby elevating the safety and convenience of driving experiences. LLMs play a pivotal role in refining human-vehicle interactions, offering an intuitive and responsive interface for vehicle controls and navigation systems. In addition, LLMs contribute to the sustainable development of EV technology by optimizing energy consumption patterns and supporting the integration of EVs into smart grid systems. To this end, this paper aims to review the essential elements of LLM-based EVs to emphasize their current capabilities toward smart transportation and infrastructure services. This paper explores the multifaceted contributions of LLMs in enhancing functionality, user experience, and technological development of EVs. This tutorial also addresses the challenges and future prospects of LLM applications in EVs, emphasizing their potential to transform EVs into intelligent companions on the road and pave the way for a more sustainable and user-centered future for personal transportation.

Original languageEnglish
Title of host publicationIECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9781665464543
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024 - Chicago, United States
Duration: 3 Nov 20246 Nov 2024

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024
Country/TerritoryUnited States
CityChicago
Period3/11/246/11/24

Keywords

  • Electric vehicles
  • human-vehicle interaction
  • language models
  • natural language processing
  • sustainable mobility

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