Development of Battery Monitoring System for Drone using Raspberry Pi

Authors

  • Arni Sabita Lina Mat Jusoh Department of Engineering Unisel
  • Hazmin Mansor UNISEL
  • Muhamad Syukri Kamarudin Department of Engineering Unisel

Keywords:

ADC converter;, Battery, Battery Monitoring System, Drone, Microcontroller, Raspberry Pi

Abstract

Malaysians currently face the same problem when controlling their drones, primarily with battery management. The battery's lifespan is crucial, and a dead stick situation in which the battery is totally depleted during flight can be disastrous. Therefore, this project aims to improve the battery estimation performance using the Battery Monitoring System (BMS) by monitoring the condition of the battery in real time. On the drone, a voltage sensor is attached, which gives the readings of the drone’s battery. Also, there is a Raspberry Pi attached as mediation for monitoring the battery in real time. These readings are sent from the drone to a base station using a server-client concept. A Wi-Fi module, namely the Blynk application, has been used for this. This system evaluates and displays the battery voltage, current, and time for the considered model battery. For monitoring purposes, analogue to digital ADC converters is used. The battery information and the obtained results explaining the main characteristics of the system are presented via graphs, and some experimental results are given via the LCD screen. The presented result shows that the hovering height of the drone affects the output voltage and the time of the battery lifespan.

References

[1] A. M. R. A. Bappy, M. D. Asfak-Ur-Rafi, M. D. S. Islam, A. Sajjad, K. N. Imran, and P. K. Saha, “Design and Development of Unmanned Aerial Vehicle (Drone) for Civil Applications,” Electr. Electron. Eng., vol. Bachelor o, 2015.
[2] M. N. Boukoberine, Z. Zhou, and M. Benbouzid, “A critical review on unmanned aerial vehicles power supply and energy management: Solutions, strategies, and prospects,” Appl. Energy, vol. 255, pp. 1–55, 2019, doi: 10.1016/j.apenergy.2019.113823.
[3] B. Saha et al., “Battery health management system for electric UAVs,” IEEE Aerosp. Conf. Proc., pp. 1–9, 2011, doi: 10.1109/AERO.2011.5747587.
[4] K. Friansa, I. N. Haq, B. M. Santi, D. Kurniadi, E. Leksono, and B. Yuliarto, “Development of Battery Monitoring System in Smart Microgrid Based on Internet of Things (IoT),” Procedia Eng., vol. 170, pp. 482–487, 2017, doi: 10.1016/j.proeng.2017.03.077.
[5] A. Adhikaree, T. Kim, J. Vagdoda, A. Ochoa, P. J. Hernandez, and Y. Lee, “Cloud-based battery condition monitoring platform for large-scale lithium-ion battery energy storage systems using internet-of-things (IoT),” 2017 IEEE Energy Convers. Congr. Expo. ECCE 2017, vol. 2017-Janua, pp. 1004–1009, 2017, doi: 10.1109/ECCE.2017.8095896.
[6] M. H. A. Wahab et al., “IoT-Based Battery Monitoring System for Electric Vehicle,” Artic. Int. J. Eng. Technol., vol. 7, no. January, pp. 505–510, 2018, [Online]. Available: https://www.researchgate.net/publication/343786968
[7] S. E. E. Profile, “Weather Monitoring IoT Drone,” no. February, 2021.

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Published

2024-06-25

Issue

Vol. 8 No. 2 (2024): Integrated Innovation for Sustainable Futures

Section

Articles in English

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