Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202343001008 | |
Published online | 06 October 2023 |
Modelling and Development of Static Wireless Charging System for Electric Vehicles
1,2,3,4 Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, INDIA.
5 Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, INDIA.
6 KG Reddy College of Engineering & Technology, Hyderabad, Telangana, INDIA.
* Corresponding author: vinaykumaar.a@gmail.com
In this work, it is proposed to develop wireless charging systems for sustainable electric vehicles. Wireless charging can transfer power from an outlet to devices without a connecting wire. Wireless electric vehicle charging is of two types; they are static wireless charging and dynamic wireless charging. The main advantages of wireless charging are that it takes less time, is more efficient, and less maintenance, and is more durable. However, the wireless charging system also has some problems, like the vehicle must be parked close to the charging pad, the installation cost, and a large battery required. Static wireless charging involves the charging of a sustainable electric vehicle while it is in a stationary position. While dynamic charging involves charging an electric vehicle in motion, charging pads are installed on the roads. In this work, the simulation model has been developed for the PS topology of wireless charging using JMAG software. This can further be developed in a prototype for EVs' static wireless charging system.
© The Authors, published by EDP Sciences, 2023
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.