Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 02016 | |
Number of page(s) | 8 | |
Section | Electric Drives and Vehicles | |
DOI | https://doi.org/10.1051/e3sconf/202454002016 | |
Published online | 21 June 2024 |
Efficient Dual Mode Photovoltaic Power System for Improved Drive Span for Electric Vehicles
Assistant Professor, Department of CS & IT, Kalinga University, Naya Raipur, Chhattisgarh, India .
* ku.frahman@kalingauniversity.ac.in
** ku.pawankumar@kalingauniversity.ac.in
The problem of drive span maximization in electric vehicle is well studied. There exist number of approaches around the problem which uses residual energy and sleep mode as key in maximizing the drive span. However, they suffer to achieve higher performance in drive span maximization. This article presents a novel Dual Model Photovoltaic Power System Based Drive Span Maximization Model (DPDSM). The model is focused on maximizing the storage of voltage in the PV cells and utilizing maximum battery supply. The model generates the voltage from the photovoltaic system and regulates the power to the electric vehicle. The model has been connected with number of photovoltaic cells, which has been connected in serial. Using them, the required voltage has been regulated to the electric motor. In another mode, the residual voltage of the vehicle battery has been changed to discharge mode which support the regulation of voltage for the vehicle. The dual mode photovoltaic power system regulates effective power for the electric vehicle continuously with less voltage loss.
Key words: Photovoltaic System / Drive Span / EV / DPDSM / Dual Mode
© 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.