| Issue |
E3S Web Conf.
Volume 387, 2023
International Conference on Smart Engineering for Renewable Energy Technologies (ICSERET-2023)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 8 | |
| Section | Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202338704008 | |
| Published online | 15 May 2023 | |
A Machine Learning-Based Energy Optimization System for Electric Vehicles
1 New Prince Shrishri Bhavani College Of Engineering And Technology, Approved by AICTE, Affilated to Anna University Chennai, India
2 Assistant Professor Kalasalingam Academy of Research and Education Tamilnadu, India
3 Assistant Professor, Prince Dr. K. Vasudevan College of Engineering and Technology, India
4 Assistant Professor, Prince Shri Venkateshwara Padmavathy Engineering College, India
The growing demand for sustainable and eco-friendly transportation has led to the widespread adoption of electric vehicles (EVs). However, the limited driving range of EVs and the need for frequent recharging remain significant challenges. To address these challenges, researchers have proposed various energy optimization techniques, including machine learning-based approaches. In this paper, proposed method of Smart EV energy optimization systems for EVs. The system uses machine learning algorithms to analyze and learn from historical driving data, such as the driving patterns, road conditions, weather, and traffic. Based on this analysis, the system predicts the energy consumption of the EV and optimizes the energy usage to minimize energy waste and extend the driving range.
Key words: Electric vehicles / Energy optimization / Machine learning / Optimizationalgorithms / Range extension
© The Authors, published by EDP Sciences, 2023
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