INTERNET OF THINGS BASED BATTERY PERFORMANCE MONITORING ON ELECTRIC SCOOTERS

Authors

  • Aditya Wiratama Ramadhan Institut Teknologi Telkom Purwokerto
  • Indah Permatasari Institut Teknologi Telkom Purwokerto
  • Anjar Taufik Hidayat Institut Teknologi Telkom Purwokerto

DOI:

https://doi.org/10.58436/jeepa.v3i2.1662

Keywords:

Arduino, Baterai, Blynk, IoT, Skuter Listrik, Suhu

Abstract

Batteries in electric vehicles, especially scooters, are very important to monitor to avoid the danger of overheating or to maintain battery life. In order for an electric scooter to run, a source of electrical energy is stored in a battery that is flexible and efficient. Batteries have the property of converting chemical energy into electrical energy, so it is necessary to carefully monitor their capacity. This can be done by monitoring several important parameters, namely: voltage, current, temperature on an electric bicycle. On electric scooters, it is necessary to take regular battery indicator readings. In this research, temperature sensor and voltage sensor are connected to Arduino. Arduino then sends data from the two sensors to the Blynk application via an internet connection. Users can access this data from the Blynk application on their smartphone and monitor battery performance on the electric scooter. Data sent from Arduino to the Blynk application can be used to monitor battery conditions on electric scooters in real-time and assist users in making decisions regarding the use of electric scooters. Through the test results obtained an average value of power on the battery of 71,46 W at a speed of 10 km/hour, at a speed of 20 km/hour the average value obtained was 79,34 W, and at a speed of 30 km/hour the average value the average power obtained is 87,62 W. So, the higher the vehicle speed, the higher the required battery performance.

Author Biography

Anjar Taufik Hidayat, Institut Teknologi Telkom Purwokerto

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Published

2023-11-30

How to Cite

[1]
A. W. Ramadhan, I. Permatasari, and A. T. Hidayat, “INTERNET OF THINGS BASED BATTERY PERFORMANCE MONITORING ON ELECTRIC SCOOTERS”, jeepa, vol. 3, no. 2, pp. 181–188, Nov. 2023.