Pratibha Shukla
Aditi Chandrakar
Rahul
Muskan Patel
Dilendra Kumar
- Assistant Professor Department of Electrical & Electronics Engineering, Government Engineering College Raipur Chhattisgarh India
- Student Department of Electrical & Electronics Engineering, Government Engineering College Raipur Chhattisgarh India
- Student Department of Electrical & Electronics Engineering, Government Engineering College Raipur Chhattisgarh India
- Student Department of Electrical & Electronics Engineering, Government Engineering College Raipur Chhattisgarh India
- Student Department of Electrical & Electronics Engineering, Government Engineering College Raipur Chhattisgarh India
Abstract
Electric Vehicle (EV) is a current buzz in the automotive industry. As electric vehicles (EVs) become more widely used, there is an increasing need for reliable and easily accessible charging infrastructure. In order to meet the expanding demands of EV users while maintaining sustainability and scalability, this abstract describes the design and optimization of an infrastructure for electric vehicle charging stations (EVCS). The aim of this project is to design interfacing system between Electric Vehicle and Electric Vehicle Charging Station using MATLAB software. Since more and more people are using electric vehicles nowadays, it is imperative that their charging system must be robust and reliable so that one can use electric vehicle without any problem. A sustainable and effective way to address the changing needs of electric vehicle users, encourage the use of clean energy, and contribute to a more sustainable and greener future is through the design and optimization of the infrastructure supporting electric vehicle charging stations.
Keywords: Electric vehicle, Electric vehicle charging station, Automation, DC charging, Bi-directional DC-DC converter, State of Charge
[This article belongs to Journal of Automobile Engineering and Applications(joaea)]
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Journal of Automobile Engineering and Applications
| Volume | 11 |
| Issue | 01 |
| Received | April 8, 2024 |
| Accepted | April 13, 2024 |
| Published | May 14, 2024 |