SMART SOLAR GARAGE WITH PSO-BASED OPTIMIZATION FOR ENERGY AND VEHICLE PERFORMANCE

Year : 2025 | Volume : 03 | Issue : 02 | Page : 6 18
    By

    Sourav Rajak,

  • Pratik Gupta,

  • Samrat Banik,

  • Debsankha Karmakar,

  • Tuhin Nayek,

  • Deb Maji,

  • Sarnendu Paul,

  • Srijan Paul,

  • Suraj Yadav,

  • Kauhsal Kishore,

  1. Student, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  2. Student, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  3. Student, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  4. Student, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  5. Student, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  6. Student, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  7. Faculty, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  8. Faculty, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  9. Faculty, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India
  10. Faculty, Mechanical Engineering Department, Asansol Engineering College, Asansol, West Bengal, India

Abstract

The swift growth of electric mobility, coupled with a rising global focus on sustainable energy, has propelled the advancement of smart garages that incorporate renewable energy, the Internet of Things (IoT), and sophisticated optimization methods. These systems aim to reduce energy waste, boost operational efficiency, and aid in the development of smart, eco-friendly urban infrastructure. This paper outlines the design and execution of a Smart Solar Garage that utilizes Particle Swarm Optimization (PSO), solar energy, and Arduino-based automation to achieve intelligent management of energy flow and vehicle performance.

The suggested system employs solar panels as its main energy source, complemented by efficient energy storage units to ensure a steady power supply. PSO, a nature-inspired metaheuristic algorithm, is used to optimize the distribution and use of power among charging modules, lighting, and auxiliary components.  With continuous sensor feedback, the system adjusts parameters like load balancing and charging rates in real-time, thus enhancing energy conversion efficiency. Furthermore, RFID-based authentication guarantees secure vehicle access and user identification, while ACS712 current sensors facilitate real-time monitoring of energy consumption and performance metrics.

The incorporation of IoT allows for cloud connectivity, enabling data visualization, predictive maintenance, and remote control, which enhances the user’s capability to oversee garage performance from anywhere at any time. Experimental results indicate that the PSO-based optimization framework achieves a 21% increase in energy efficiency compared to conventional static control systems. The modular and scalable design of the architecture makes it ideal for implementation in residential, commercial, and smart city settings, aligning with the broader goal of sustainable infrastructure.

In summary, the Smart Solar Garage signifies a groundbreaking advancement towards intelligent and self-sustaining energy ecosystems. By integrating renewable energy management, IoT-driven automation, and PSO-based optimization, this system provides a sustainable, economical, and flexible solution for the future of green vehicle infrastructure.

Keywords: Smart Garage, Solar Energy, PSO Optimization, IoT, Energy Efficiency, Arduino, RFID

[This article belongs to International Journal of Energy and Thermal Applications ]

How to cite this article:
Sourav Rajak, Pratik Gupta, Samrat Banik, Debsankha Karmakar, Tuhin Nayek, Deb Maji, Sarnendu Paul, Srijan Paul, Suraj Yadav, Kauhsal Kishore. SMART SOLAR GARAGE WITH PSO-BASED OPTIMIZATION FOR ENERGY AND VEHICLE PERFORMANCE. International Journal of Energy and Thermal Applications. 2025; 03(02):6-18.
How to cite this URL:
Sourav Rajak, Pratik Gupta, Samrat Banik, Debsankha Karmakar, Tuhin Nayek, Deb Maji, Sarnendu Paul, Srijan Paul, Suraj Yadav, Kauhsal Kishore. SMART SOLAR GARAGE WITH PSO-BASED OPTIMIZATION FOR ENERGY AND VEHICLE PERFORMANCE. International Journal of Energy and Thermal Applications. 2025; 03(02):6-18. Available from: https://journals.stmjournals.com/ijeta/article=2025/view=230905


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Regular Issue Subscription Original Research
Volume 03
Issue 02
Received 22/09/2025
Accepted 31/10/2025
Published 05/11/2025
Publication Time 44 Days
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