EconPapers    
Economics at your fingertips  
 

IOT Based Battery Swapping Station and Monitoring System for Electric Vehicle's

Neeta, R. Kadam, Atharva Narale, Pratik Sabale, Kaustubh Salegaonkar and Tohid Patwekar

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 3, 201-204

Abstract: The transportation industry contributes a significant amount of carbon emissions and pollutants to the environment globally. The adoption of electric vehicles (EVs) has a significant potential to not only reduce carbon emissions, but also to provide needed energy storage to contribute to the adoption of distributed renewable generation. Similarly, providing adequate charging infrastructure plays a momentous role in rapid proliferation of Electric Vehicles (EVs). Easy access to such infrastructure would remove various obstacles regarding limited EV mobility range. A Battery Swapping Station (BSS) is an effective approach in supplying power to the EVs, while mitigating long waiting times in a Battery Charging Station (BCS). In contrast with the BCS, the BSS charges the batteries in advance and prepares them to be swapped in a considerably short time. Considering that these stations can serve as an intermediate entity between the EV owners and the power system, they can potentially provide unique benefits to the power system. Battery swapping stations are one of the best options for EV charging stations in India and even a solution to the lack of EV charging infrastructure in India. The battery swapping stations take less time to charge your electric vehicle 100%. Just Swap the Drain Lithium-Ion Battery with a new one and be ready for longer drives.

Keywords: Electric Vehicles; Battery; Battery Swapping Station; Internet of things; Charging Stations (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2390332
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/CSEIT2390332 Article URL (text/html)
https://ijsrcseit.com/paper/CSEIT2390332.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i3:id:hcseit2390332

DOI: 10.32628/CSEIT2390332

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().

 
Page updated 2026-09-18
Handle: RePEc:jbh:ijsrcs:v9:y2023:i3:id:hcseit2390332