Article citationsMore >>

Zahid, M., et al., “Design and implementation of low-cost dual axis solar tracker using Arduino,” in Proc. Int. Conf. on Electrical Engineering and Computer Science (EECSI), 1-6. (2019).

has been cited by the following article:

Article

Design and Implementation of a Solar Tracking Robot for Renewable Energy Enhancement in Electric Vehicle Charging

1Department of Electrical Engineering, Faculty of Engineering and Architecture, Umm Al Qura University, Makkah, Saudi Arabia


American Journal of Electrical and Electronic Engineering. 2025, Vol. 13 No. 2, 15-19
DOI: 10.12691/ajeee-13-2-1
Copyright © 2025 Science and Education Publishing

Cite this paper:
Ali Alzahrani, Mouiad Nahhas, Abdulaziz Alogla, Khalid Almghrabi, Nawaf Albishri, Ahmed M. Nahhas. Design and Implementation of a Solar Tracking Robot for Renewable Energy Enhancement in Electric Vehicle Charging. American Journal of Electrical and Electronic Engineering. 2025; 13(2):15-19. doi: 10.12691/ajeee-13-2-1.

Correspondence to: Ahmed  M. Nahhas, Department of Electrical Engineering, Faculty of Engineering and Architecture, Umm Al Qura University, Makkah, Saudi Arabia. Email: amnahhas@uqu.edu.sa

Abstract

This paper presents the design and implementation of a single-axis solar tracking robot (STR) aimed at maximizing solar energy harvesting efficiency and exploring its use in off-grid electric vehicle (EV) charging systems. Unlike fixed solar panels that suffer performance losses due to the sun’s movement, the STR autonomously aligns a photovoltaic panel using light-dependent resistors (LDRs) and a servo motor, while its mobility system repositions the entire unit in search of optimal sunlight. The robot was built using cost-effective components such as Arduino Uno, L298N motor driver, and DC motors, and simulated in Proteus before hardware implementation. Field testing demonstrated an efficiency gain of up to 26% compared to static panels. The results suggest that the STR provides a viable, scalable solution for renewable-powered EV charging in remote or underdeveloped areas.

Keywords