Indonesian Journal of Electrical Engineering and Computer Science Vol. 26, No. 3, June 2022, pp. 1227~1234 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v26.i3.pp1227-1234 1227 Journal homepage: http://ijeecs.iaescore.com Electric vehicle charging using roof top photovoltaic controlled with new hybrid optimization technique Dhamodharan Selvaraj, Dhanalakshmi Rangasamy Department of Electrical and Electronics Engineering, Dayananda Sager College of Engineering, Bangalore, India Article Info ABSTRACT Article history: Received Aug 10, 2021 Revised Mar 14, 2022 Accepted Mar 29, 2022 In this decade, electric car technology has advanced at a breakneck pace. People are also using electric vehicles more since they are more inexpensive. Electric car charging is one of the issues that most sectors confront, as there are many cities in India where charging stations have yet to be established. In this paper, an innovative approach for charging a vehicle while on the move is presented, utilizing the solar panels on the vehicle's roof. The panels collect energy from the sun and use it to charge the vehicle's battery. Even when the vehicle is driving down the road, this happens. Partial shading is a concern for solar panels when travelling on the road. In this paper, a new hybrid optimization technique combining grey wolf optimization and crow search algorithms (GWO-CSA) is employed to compare an electric car model to the traditional particle swarm optimization (PSO) approach. The MATLAB simulation results demonstrate the vehicle's performance and tracking efficiency. Keywords: Electric vehicle charging Hybrid GWO-CSA On the Go charging Partial shaded condition PV panels This is an open access article under the CC BY-SA license. Corresponding Author: Dhamodharan Selvaraj Department of Electrical and Electronics Engineering, Dayananda Sager College of Engineering Shavige Malleshwara Hills, 91 st Main Rd, 1 st Stage, Kumaraswamy Layout Bengaluru, Karnataka 560078, India Email: dhamu.winner@gmail.com 1. INTRODUCTION Several manufacturers have introduced energy-efficient and cost-effective electric vehicles over the last decade. Developing countries such as India, on the other hand, continue to be underserved. In the near future, there may be a substantial demand for charging stations or alternative charging methods. Solar energy has recently risen to prominence as one of the most straightforward and ecologically friendly energy sources [1]. The tracking of solar panels' maximum power points has been the subject of numerous articles. In partially shaded circumstances, maximum power tracking for Electric Vehicle (EV) on-the-go charging is a big challenge. Furthermore, a hot spot in the solar cells leads in power loss due to the partially shaded conditions. Several papers explain methods to overcome this partially shaded state utilising optimization algorithms and intelligent strategies, as well as reconfiguring solar panels or cells. The solutions to this problem are described in the following articles. The solar cells housed within the panels are examined by Bishop [2]. Present value Net is a Pascal programme that simulates the electrical behaviour of solar cell interconnection networks and was developed at the European Communities' Joint Research Centre in Ispra. The software creates three-quadrant solar cell currentvoltage (IV) curves, combines them to get the next IV curve for any interconnection circuit, and determines the operating point of each circuit element based on user-defined operating parameters. In the PSpice environment, offers a method for simulating and modelling partially shadowed solar cells and Photo- Voltaic (PV) modules [3]. When the modules are covered or broken, bypass diodes are used to minimise