Solar Power Based Electric Vehicle DC Fast Charging Station Performance Improved by Using the Salp Swarm Algorithm

Author:

Govindaraju Vijaya Gowri1,Brammadevan Anusiya1

Affiliation:

1. K S Rangasamy College of Technology

Abstract

Abstract

The utilization of electric vehicles has rapidly increased due to their advantages for the environment and the economy. The hybrid-source charging system, which includes grid connectivity and solar power, was designed to encourage the charging of electric vehicles. EVs take longer to recharge because they use rechargeable batteries. The present system lacks self-regulation and hence cannot be more successful. It is impossible to change the system constant without also changing the system parameters to achieve a certain goal, such as reducing process time and increasing efficiency. Depending on the Slap Swarm Algorithm, the proposed study employs a self-regulating PID controller to optimize the efficiency of EV charging stations. The SSA technique makes it possible to fast charge EV batteries. MPPT can help EV Fast Charging Stations become more sustainable and cost less to operate by lowering their reliance on the traditional grid. The dc-dc converter regulates the voltage which is fed to the battery of an electric vehicle during the charging procedure. This prevents overcharging and undercharging, extending the battery's life and improving charging efficiency. Depending on the temperature, battery status, and other parameters, the charging station can regulate the duty cycle to change the amount of current flowing into the battery. The primary advantage of the suggested method over other conventional ways is that it reduces billing costs and charge time. This strategy not only improves recharging efficiency, but it also helps to shape the development of smart and dynamic energy networks, promoting a more sustainable and practical electric vehicle ecosystem. MATLAB software is employed to validate the results.

Publisher

Research Square Platform LLC

Reference20 articles.

1. Ahmet Onen and Jaesung Jung, "Energy Management System for Hybrid Renewable Energy-Based Electric Vehicle Charging Station, "IEEE Access vol.no.11,2023;Karmaker Ashish Kumar

2. "Operation Analysis of Fast Charging Stations with Energy Demand Control of Electric Vehicles,";Pingyi Fan;IEEE Transactions on Smart Grid,2015

3. Daqing Gong, Mincong Tang, Borut Buchmeiste and Hankun Zhang, "Solving Location Problem for Electric Vehicle Charging Stations—A Sharing Charging Model," Vol. no. 7, 2019 doi:10.1109/ACCESS.2019.2943079.

4. Emad Hadian, Hamidreza Akbar, Mehdi Farzinfar, And Seyedamin Saeed. "Optimal Allocation of Electric Vehicle Charging Stations with Adopted Smart Charging/Discharging Schedule," Vol. no.8,2020.

5. " Energy Demand Load Forecasting for Electric Vehicle Charging Stations Network Based on Convlstm and Biconvlstm Architectures, "IEEE Access;Mohammad Faisal,2023

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