EVGPT - Fine-Tuned Large Language Model for Electric Vehicle Operational Assistance

The optimization of electric vehicle (EV) utilization and efficiency is becoming increasingly essential in the ever- changing landscape of sustainable transportation. Consulting user manuals, online resources, and seeking expert advice for EV maintenance and operation is a significant obstacle to productivity. Electric Vehicle GPT (EVGPT) is a specialized Large Language Model (LLM) specifically designed to address queries related to EV maintenance, operation, and troubleshooting, filling the gaps that conventional LLMs may miss. This model serves as a comprehensive digital assistant for technicians, operators, and EV enthusiasts, providing timely and precise information while upholding response quality. This study offers an overview of the EVGPT model architecture and presents an operational evaluation based on its implementation in a specific EV model.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/icefeet64463.2024.10866211
Citations
1
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.46
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article

EVGPT - Fine-Tuned Large Language Model for Electric Vehicle Operational Assistance

Mr. Shailendra Singh Barath, S Kanimozhi, A Mathew, G. Prithvi et al.
1 citations
Risk and Safety Analysis
0.46
article

EVGPT - Fine-Tuned Large Language Model for Electric Vehicle Operational Assistance

Mr. Shailendra Singh Barath, S Kanimozhi, A Mathew, G. Prithvi, Vaikash K.G., Gukhan V.B.S
article en
1 citations

Abstract

The optimization of electric vehicle (EV) utilization and efficiency is becoming increasingly essential in the ever- changing landscape of sustainable transportation. Consulting user manuals, online resources, and seeking expert advice for EV maintenance and operation is a significant obstacle to productivity. Electric Vehicle GPT (EVGPT) is a specialized Large Language Model (LLM) specifically designed to address queries related to EV maintenance, operation, and troubleshooting, filling the gaps that conventional LLMs may miss. This model serves as a comprehensive digital assistant for technicians, operators, and EV enthusiasts, providing timely and precise information while upholding response quality. This study offers an overview of the EVGPT model architecture and presents an operational evaluation based on its implementation in a specific EV model.

Vellore Institute of Technology University (IN)
Openalex Percentile: Top 25%
Risk and Safety Analysis
0.46
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