IoT Based Battery Parameter Measurement System
Keywords:
Battery monitoring, Internet of Things (IoT), PIC18F46K22 microcontroller, Predictive maintenance, State of chargeAbstract
This paper presents the design and implementation of an IoT-based battery parameter measurement system capable of real-time monitoring of voltage, current, temperature, and state-of-charge (SOC) for multiple battery cells. The system utilizes a PIC18F46K22 microcontroller for data acquisition, interfaced with voltage divider circuits and current sensors to measure key parameters. A Wi-Fi module enables wireless data transmission to a cloud platform, where real-time data can be accessed remotely. An intuitive web-based dashboard is used for data visualization, performance tracking, and alert generation in case of abnormal conditions such as overvoltage, under voltage, or overcurrent. The system supports EEPROM-based storage for set points and push-button-based calibration, ensuring accuracy, and flexibility in operation. This system is designed to address the limitations of traditional battery monitoring systems; this IoT-enabled solution enhances operational efficiency, enables preventive maintenance, and significantly reduces the risk of unexpected failures. The system is scalable, cost-effective, and suitable for a wide range of applications, including solar energy systems, electric vehicle battery packs, telecom towers, and industrial backup systems. By integrating embedded hardware with cloud-based IoT technologies, the proposed system offers a smart, connected, and efficient framework for continuous battery health monitoring and management.
References
D. Panicker, D. Kapoor, S.P Prajwal, and M. A. Kamthe, “IoT Based smart Battery Management System,” International Research Journal of Engineering and Technology (IRJET), vol.9, no.6, pp 1231–1241, Jun. 2022, Available: https://www.researchgate.net/publication/361307596
M. Helmy, A. Wahab, N. Imanina, M. Anuar, and H. F. Hanafi, “IoT-Based Battery Monitoring System for Electric Vehicle,” International Journal of Engineering & Technology, vol. 7, no. 4.31, pp. 505–510, Jan. 2018, doi: https://doi.org/10.14419/ijet.v7i4.31.25472.
S. Ceven, E. Kucukkulahli, and A. Albayrak, “Development of IoT Based Battery Management System,” 2021 2nd International Informatics and Software Engineering Conference (IISEC), Dec. 2021, doi: https://doi.org/10.1109/iisec54230.2021.9672346.
A. S, S. V. Kulkarni, S. Gupta, and P. V., "Battery Management System (BMS) for Electric Vehicle Applications," 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), 2022, pp. 1-6, doi: https://doi.org/10.1109/ICERECT56837.2022.10060137
G. V. Bhau, R. G. Deshmukh, T. R. kumar, S. Chowdhury, Y. Sesharao, and Y. Abilmazhinov, “IoT based solar energy monitoring system,” Materials Today: Proceedings, vol. 80, no. 3, pp. 3697–3701, Jul. 2023, doi: https://doi.org/10.1016/j.matpr.2021.07.364
M. Sabarimuthu, N. Senthilnathan, P. M. Sundari, M. Krishna, L. Aarthi and S. Yogeshwaran, "Battery Monitoring System For Lithium Ion Batteries Using IoT," 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), Kuala Lumpur, Malaysia, 2021, pp. 1-6, doi: https://doi.org/10.1109/i-PACT52855.2021.9696496
M. Aydın, and İ. Gürbüz, “IoT based a low cost battery monitoring system using ESP8266 and Arduino IoT cloud platform,” International Journal of Automotive Engineering and Technologies, vol. 13, no. 4, pp. 170-179, Available: https://dergipark.org.tr/en/download/article-file/4228618
M. Aydın and İ. Gürbüz, “IoT based a low cost battery monitoring system using ESP8266 and Arduino IoT cloud platform,” International Journal of Automotive Engineering and Technologies, vol. 13, no. 4, pp. 170–179, Dec. 2024, doi: https://doi.org/10.18245/ijaet.1553298
K. Insia, A. Ahmed, E. Jahan, “IoT-Based Smart Battery Management and Monitoring System for Electric Vehicles," The AIUB journal of science and engineering, vol. 22, no. 2, pp. 181–188, Aug. 2023, doi: https://doi.org/10.53799/ajse.v22i2.731
N. N. Ghuge, D. Vishal, B. Kunal, and M. Kulkarni, “IoT Based Battery Management System for Electric Vehicles,” Proceedings of the 3rd International Conference on Communication & Information Processing (ICCIP) 2021, SSRN Electronic Journal, 2021, doi: https://doi.org/10.2139/ssrn.3917899