Rancang Bangun Monitoring Kondisi Baterai dan Lokasi Kendaraan Listrik Berbasis Mikrokontroler Esp32
DOI:
https://doi.org/10.61132/mars.v3i3.916Keywords:
Battery Monitoring, Electric Vehicle, Esp32, Mit AppAbstract
Electric Vehicles Require A Reliable Monitoring System To Maintain Their Efficiency And Safety. This Study Designs A Monitoring System For Battery Condition And Vehicle Location Based On The Esp32 Microcontroller And The Mit App Inventor Application. The System Uses The Pzem 017 Sensor To Monitor Voltage, Current, Power, Energy, As Well As Battery Capacity And Health, And The Neo-7m Gps Module For Location Tracking. Data Is Displayed In Real Time Through An Android Application. Test Results Show That The System Provides Accurate Information, With Minimal And Statistically Insignificant Measurement Errors According To The Paired T-Test. The System Also Remains Stable At Various Vehicle Speeds (Anova), And The Location Tracking Demonstrates An Average Accuracy Of 4.77 Meters In Open Areas. In Enclosed Areas, The Error Increases To An Average Of 10.26 Meters. The System Is Also Capable Of Automatically Calculating Battery Capacity And Health. Overall, The Developed System Proves To Be Effective, Efficient, And Flexible In Supporting The Reliability And Safety Of Electric Vehicles.
References
Andriyanto, D., Ahfas, A., Sulistiyowati, I., Elektro, J. T., Sains, F., Teknologi, D., Muhammadiyah, U., Kampus, S., Raya, J., No, G., & Sidoarjo, C. (2023). Sistem monitoring dan protection smart charger baterai mobil listrik lithium ion berbasis Telegram. Journal of Electrical Engineering and Computer (JEECom), 4(2). https://doi.org/10.33650/jeecom.v4i2
Asaad, M., Ahmad, F., Alam, M. S., & Rafat, Y. (2017). IoT enabled electric vehicle’s battery monitoring system. In Proceedings of the 1st EAI International Conference on Smart Grid Assisted Internet of Things. https://doi.org/10.4108/eai.7-8-2017.152984
Indah, I. P. S., Al-Khowarizmi, A.-K., Md, P. P. H., Perdana, A., & Manurung, A. A. (2023). Implementation and design of security system on motorcycle vehicles using Raspberry Pi3-based GPS tracker and face detection. Sinkron, 8(3), 2003–2007. https://doi.org/10.33395/sinkron.v8i3.12935
Kusuma, A. P., & Oktavianto, A. D. (2022). Analisis metode Euclidean Distance dalam menentukan koordinat peta pada alamat rumah. Jurnal Teknologi dan Manajemen Informatika, 8(2), 108–115. http://jurnal.unmer.ac.id/index.php/jtmi
Pela, M. F., & Pramudita, R. (2021). Sistem monitoring penggunaan daya listrik berbasis Internet of Things pada rumah dengan menggunakan aplikasi Blynk. Infotech: Journal of Technology Information, 7(1), 47–54. https://doi.org/10.37365/jti.v7i1.106
Rani, R. U., Divya, G., Swarupa, M. L., & Navaneetha, K. (2023). IoT-based battery monitoring system for electric vehicle using ESP32. In 2023 Second International Conference on Smart Technologies for Smart Nation (SmartTechCon) (pp. 1491–1503). https://doi.org/10.1109/SmartTechCon57526.2023.10391772
Rey, A. R., & Fatekha, R. A. (2024). Analysis of battery energy consumption in the Barelang V base robot with 4 brushed DC motors (pp. 5–20). https://doi.org/10.2991/978-94-6463-620-8_2
Sadeghian, P., Håkansson, J., & Zhao, X. (2021). Review and evaluation of methods in transport mode detection based on GPS tracking data. Journal of Traffic and Transportation Engineering (English Edition), 8(4), 467–482. https://doi.org/10.1016/j.jtte.2021.04.004
Shah, F. A., Sheikh, S. S., Mir, U. I., & Athar, S. O. (2019). Battery health monitoring for commercialized electric vehicle batteries: Lithium-Ion. In 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) (pp. 1–6). https://doi.org/10.1109/PGSRET.2019.8882735
Syaddad, H. N. (2019). Perancangan sistem keamanan sepeda motor menggunakan GPS tracker berbasis mikrokontroler pada kendaraan bermotor. Media Jurnal Informatika, 11(2). http://jurnal.unsur.ac.id/mjinformatika
Teknik Elektro, J., Cahyono, T. P., & Kaloko, B. S. (2019). Pengujian karakteristik baterai lithium-ion dengan metode fuzzy dengan beban bervariasi. Universitas Jember.
Yulanto, D. M., & Iskandar, H. (2021). Studi analisis perkembangan teknologi kendaraan listrik hibrida. Journal of Automotive Technology, 2(1). https://journal.upy.ac.id/index.php/jatve/index
Zain, A. T., Suranto, D. D., Budiprasojo, A., Karimah, C. N., Azhar, F. A., & Haryanto, M. D. (2025). Applications of 18650 lithium-ion batteries pack in 3 kW electric vehicles. IOP Conference Series: Earth and Environmental Science, 1446(1), 012056. https://doi.org/10.1088/1755-1315/1446/1/012056
Zain, F. N., Martawati, M. E., & Rohman, F. (2023). Pengembangan sistem monitoring kapasitas baterai kendaraan listrik berbasis Internet of Things. Jurnal Aplikasi dan Inovasi IPTEKS “Soliditas” (J-Solid), 6(1), 92. https://doi.org/10.31328/js.v6i1.3861
Zola, G., Nugraheni, D., Andhien, R., Rosiana, A., Dzamar, D., Pambudy, A., & Agustanta, N. (2023). Inovasi kendaraan listrik sebagai upaya meningkatkan kelestarian lingkungan dan mendorong pertumbuhan ekonomi hijau di Indonesia. Jurnal Inovasi Energi dan Lingkungan, 11(3).
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