Solar Tracking System and Battery Management

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 17 | 02 | Page :
    By

    Bahirat Bhakti,

  • Aher Krushna,

  • Bagal Sakshi,

  • Adhav Jayesh,

  • R. A. Kapgate,

  1. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargoan, India
  2. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargoan, India
  3. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargoan, India
  4. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargoan, India
  5. Head of Department, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargoan, India

Abstract

This project focuses on optimizing renewable energy systems by combining a dual-axis solar tracking mechanism with a smart Battery Management System (BMS) to improve solar energy harvesting and storage. The system uses an Arduino Uno microcontroller and Light Dependent Resistors (LDRs) to track the sun’s position, enabling the solar panel to adjust its orientation in real-time for optimal sunlight exposure throughout the day. At the same time, the integrated IoT-based BMS monitors key parameters like the state of charge (SOC), voltage, current, and temperature, implementing safety features to prevent overcharging, deep discharging, and overheating. This increases system stability, extends battery life, and guarantees safe and effective energy storage. Comparative analysis of the system shows improved energy capture efficiency, faster response times, and longer battery life. The study demonstrates how combining real-time solar tracking with intelligent energy storage can significantly improve energy utilization, offering a sustainable solution for reducing reliance on traditional energy sources and optimizing renewable energy systems for both residential and industrial use. Through IoT connectivity, the suggested solution facilitates remote monitoring and data visualization, allowing users to assess system performance instantly. For long-term sustainable energy applications, the combination of automated tracking and intelligent battery protection improves overall operating dependability, lowers maintenance needs, and encourages effective use of renewable resources.

Keywords: Solar Tracking, Battery Management System, Renewable Energy, Energy Efficiency, Sustainable Power, IoT

How to cite this article:
Bahirat Bhakti, Aher Krushna, Bagal Sakshi, Adhav Jayesh, R. A. Kapgate. Solar Tracking System and Battery Management. Journal of Alternate Energy Sources & Technologies. 2026; 17(02):-.
How to cite this URL:
Bahirat Bhakti, Aher Krushna, Bagal Sakshi, Adhav Jayesh, R. A. Kapgate. Solar Tracking System and Battery Management. Journal of Alternate Energy Sources & Technologies. 2026; 17(02):-. Available from: https://journals.stmjournals.com/joaest/article=2026/view=245800


References

  1. Kalogirou SA. Solar energy engineering: processes and systems. Elsevier; 2023 Dec 1.
  2. How DN, Hannan MA, Lipu MH, Ker PJ. State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review. Ieee Access. 2019 Sep 18;7:136116-36.
  3. Ertugrul N. Battery storage technologies, applications and trend in renewable energy. In2016 IEEE International Conference on Sustainable Energy Technologies (ICSET) 2016 Nov 14 (pp. 420-425). IEEE.
  4. Jung J, Villaran M. Optimal planning and design of hybrid renewable energy systems for microgrids. Renewable and Sustainable Energy Reviews. 2017 Aug 1;75:180-91.
  5. Kale SA, Patil SS. Intelligent Battery Management System using Machine Learning with Dual axis Solar Tracking System. In2025 Fourth International Conference on Smart Technologies, Communication and Robotics (STCR) 2025 May 9 (pp. 1-5). IEEE.
  6. Mohammed A, Battina NM, Majahar H, Gottapu K. Implementation of dual-axis solar tracker using smart battery protection system. Engineering Research Express. 2024 Jun 1;6(2):025348.
  7. Sayeduzzaman M, Mahmud A, Chamberlain K, Negi A. Design and implementation of an automated solar tracking system to run utility systems at minimal loads during load-shedding by charging solar batteries. InMechatronics and Automation Technology 2022 (pp. 699-704). IOS Press.
  8. Sindhuja A, Harshanya M, Vaishali B. A Review on Solar Panel Efficiency Using Dual-Axis Tracking and Efficient Storage in Batteries Using PWM Technology. In2025 11th International Conference on Communication and Signal Processing (ICCSP) 2025 Jun 5 (pp. 108-112). IEEE.
  9. Hossain MA, Pota HR, Moreno CM. Real-time battery energy management for residential solar power system. IFAC-PapersOnLine. 2019 Jan 1;52(4):407-12.
  10. Abadi I, Imron C, Bachrowi MM, Fitriyanah DN. Design and implementation of battery charging system on solar tracker based stand alone PV using fuzzy modified particle swarm optimization. AIMS Energy. 2020 Jan 1;8(1).
Ahead of Print Subscription Review Article
Volume 17
02
Received 24/02/2026
Accepted 26/02/2026
Published 03/06/2026
Publication Time 99 Days
1

Login


My IP

PlumX Metrics