IoT-Based Battery Monitoring System for Lithium-Ion using Fuzzy Logic Method
DOI:
https://doi.org/10.52435/complete.v6i2.746Keywords:
Battery Monitoring, Voltage, Temperature, Fuzzy Logic, IoTAbstract
The increasing number of vehicles in Indonesia has a negative impact if it is allowed to continue; one solution is to switch to environmentally friendly electric vehicles. One of the main components of electric vehicles is the battery. IoT-based battery monitoring is needed to check battery health using the fuzzy logic method with LED notification results. Notifications indicate whether the battery is in a safe, alert or dangerous condition. The results of battery monitoring in a discharge condition with a load of battery voltage decrease linearly compared to temperature, which changes according to the ambient temperature. In a charging condition, the battery voltage increases linearly, and the peak temperature is higher than when discharged with a load. When testing a load variation of 4 LEDs, the voltage decreases faster, and the temperature rises higher than with a load of 2 LEDs. With these various conditions, the application of fuzzy logic is used to monitor the condition of the battery in a discharge or charge state. This study aims to develop IoT-based battery monitoring by implementing the use of fuzzy logic as a battery notification when the battery is in a safe, alert, or dangerous state. This battery monitoring system can monitor the battery in real time and is quite accurate by using IoT, which can facilitate battery monitoring.
References
Badan Pusat Statistik, "Perkembangan Jumlah Kendaraan Bermotor Menurut Jenis (Unit), 2019-2021." Accessed: Nov. 16, 2023. [Online]. Available: https://www.bps.go.id/indicator/17/57/1/jumlah-kendaraan-bermotor.html
CNBC Indonesia, "10 Negara Konsumsi Minyak Bumi Terbesar Dunia, Ada RI?" Accessed: Dec. 05, 2023. [Online]. Available: https://www.cnbcindonesia.com/research/20231010123608-128-479375/10-negara-konsumsi-minyak-bumi-terbesar-dunia-ada-ri
Kemenperin, "Studi Mobil Listrik: Hemat Energi Hingga 80 Persen." Accessed: Dec. 15, 2023. [Online]. Available: https://kemenperin.go.id/artikel/19877/Studi-Mobil-Listrik-Hemat-Energi-Hingga-80-Persen
S. Gupta and R. Perveen, "Fuel cell in electric vehicle," Mater. Today Proc., vol. 79, pp. 434-437, Jan. 2023, doi: 10.1016/j.matpr.2023.02.039.
A. A. M. Kurniawan et al., "Fuzzy logic method for making push notifications on monitoring system of IoT-based electric truck charging," Bulletin of Electrical Engineering and Informatics, vol. 14, no. 1, pp. 118-131, Feb. 2025, doi: 10.11591/eei.v14i1.7412.
T. P. Cahyono and B. S. Kaloko, "Pengujian Karakteristik Baterai Lithium-Ion Dengan Metode Fuzzy dengan Beban Bervariasi," J. Teknik Elektro, Universitas Jember, 2021.
V. Ramakrishnan, M. R. Kumar, D. Sharoun, and A. S. Vigneshwar, "IoT Based Battery Monitoring System for E-Vehicle," Int. J. Sci. Res. Sci. Technol., vol. 9, Apr. 2021. [Online]. Available: https://www.ijsrst.com
M. Dzaky et al., "Implementasi Logika Fuzzy untuk Pengukuran SoC Baterai Mobil Listrik yang Akurat (Fuzzy Logic Implementation for Accurate Electric Car Battery SoC Measurement)," 2021.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Ardika Bagus Saputra, Isa Hafidz, Susijanto Tri Rasmana

This work is licensed under a Creative Commons Attribution 4.0 International License.







