International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
Smart Management of EV Charging Station Paneri Avkirkar Computer Science and Technology Usha Mittal Institute of Technology
Aayushi Gajbhiye Computer Science and Technology Usha Mittal Institute of Technology
Riddhi Kabra Computer Science and Technology Usha Mittal Institute of Technology
Monica Charate
Ankita Umale
Computer Science and Technology Usha Mittal Institute of Technology
Computer Engineering Usha Mittal Institute of Technology
--------------------------------------------------------------------------***--------------------------------------------------------------------------Abstract—In today’s world, Electric Vehicles(EVs) are dras- tically evolving. General public transport as buses, autos, taxis, etc., are rapidly being replaced by EVs, the major cause for this is the rapidly increasing fossil fuel price and the limited resource available. We observe people switching to EVs but still facing charging issues. The proposed system will work onthis issue by displaying charging stations, providing the user with a slot at the nearest charging station, guiding them to the destination via GMAPS API, a chatbot for queries and displaying the battery percentage so that they are always aware of the currently available battery.
gives an idea on how EVs operates, including their history, technology, benefits, and limitations. Furthermore, this article will examine the current state of the electric vehicle market and the challenges hindering the widespread adoption of electric vehicles. Finally, the document will offer recommendations to policymakers and stakeholders to expedite the transition to electric vehicles, including the launch and marketing of new EV models. Car manufacturers such as Tesla and Tata have recently introduced new electric vehicle models to the market. To reserve one of these vehicles, users are required to pay a portion of the total cost online. Our system will employ the Google Maps slotting strategy and API to generate the quickest route to a charging station. The chatbot system software will use text commands to operate. Specific charging stations are dedicated to charging electric vehicles, although it should be noted that under current conditions, approximately 4,444 cars would require at least 15 to 30 minutes to fully charge.
Index Terms—EV; Battery Percentage; GMAPS; Slots.
I. INTRODUCTION In recent years, there has been a significant focus on electric vehicles (EVs) as a source to reduce the use of fossil fuels and cutting the extra use of these gases, also saving the ozone layer. EVs utilize rechargeable batteries that can be recharged by plugging into charging stations or electrical outlets. The development of this technology has resulted in a range of EV models, from compact city cars to large trucks.
II. OBJECTIVE AND SCOPE A.
The objective of this project is to provide an efficient and convenient charging slot booking system for electric vehicle (EV) car owners. The project aims to design a simple and user- friendly interface that can be easily understood by everyone. It also aims to connect multiple charging stations together via a single system and provide users with details about the nearest stations and routes to reach them through maps. The overall objective is to simplify the process of booking and charging EVs, making it more accessible to users.
EVs are becoming increasingly popular worldwide, with both automakers and governments advocating for their adoption as a way to mitigate air pollution and improve public health. In addition to being environmentally friendly, there are many benefits of using EVs such as there is no engine thus the sound is effectively reduced, very light weight so effortlessly used by number of people, also cost of purchase and maintenance is a lot cheaper as compared to conventional vehicles Our proposed system
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