Toward Intelligent Communication and Optimization in EVs: : A tutorial on the Transformative Impact of Large Language Models
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.
Authors
- Haitham Abu‐Rub (ORCID: https://orcid.org/0000-0001-8687-3942)
- Ali Ghrayeb
- Mohamed Massaoudi (ORCID: https://orcid.org/0000-0002-9388-2115)
Institutions
- Texas A&M University at Qatar (QA)
- Texas A&M University (US)
Publication Details
- Published
- 2024-11-03
- DOI
- https://doi.org/10.1109/iecon55916.2024.10905200
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Qatar National Research Fund