Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
---|---|---|
Article Number | 01079 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/matecconf/202439201079 | |
Published online | 18 March 2024 |
ECharge – An Electric Vehicle Charging Station Finder Application
1 Department of Computer Science and Engineering, KG Reddy College of Engineering & Technology, Hyderabad, Telangana, India
2 Department of CSE, GRIET, Hyderabad, Telangana, India
3 Lovely Professional University, Phagwara, Punjab, India.
* Corresponding author: bharath.bittu945@gmail.com
Even though electric cars are growing more and more common, many drivers still have trouble finding charging stations. Because of this, customers need an EV charging station finder app that is user-friendly and dependable, and that can provide them with the most recent information on the location and availability of charging stations specific to the type of electric vehicle they are driving. An dependable and user-friendly app that can assist EV drivers in finding charging stations is becoming increasingly necessary as more and more people choose to use electric vehicles (EVs). Although there are now a few apps for this usage, they frequently have limited functionality, lack real-time information, or are challenging to use. For EV drivers, this might cause aggravation and annoyance as they can find it difficult to map out their routes or locate. This app would be a helping hand for EV drivers.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.