Year: 2024
Type: article
Abstract: Infrastructure for easy and effective charging of electric vehicles is desperately needed as EV adoption expands. In this project, we develop a framework to find nearby charging stations and facilitate slot booking functionality, offering a comprehensive solution to support EV mobility. Our framework provides users with accurate and current information about available charging stations in their vicinity by integrating real-time data from multiple sources, such as EV charging networks, geographical information systems (GIS), and user preferences. The suggested system makes recommendations for the best charging stations based on variables like distance, charging time, and compatibility with the user's electric vehicle model by analyzing data on charging station availability, charging speeds, and user preferences using sophisticated algorithms. The framework also includes slot booking functionality that enables users to reserve charging times in advance, cutting down on waiting periods and ensuring a flawless charging experience.Our framework has several key characteristics, such as an easy-to-use mobile application interface, support for various payment methods for charging services, and integration with well-known mapping services for navigation. Additionally, the system uses machine learning algorithms to anticipate the availability of charging stations and enhance EV drivers' route selection. Through implementing this framework into action, we anticipate to address issues with EV charging infrastructure, like range anxiety and traffic at charging stations, and encouraging the widespread use of electric vehicles. By giving EV drivers a reliable and practical way to access charging infrastructure, our project develops sustainable transportation solutions and speeds up the shift to a more environmentally friendly and sustainable future.
Authors: Veena S, Hrithik A, Darshan G Hegde, Chetan, Hydar Ali D
Institution: Visvesvaraya Technological University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410469483