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Analisis Perbandingan Pengukuran Konsumsi Daya Motor BLDC 350W Melalui Pengukuran Dynamometer dan Pengujian On-road Utomo, Satryo Budi; Hardianto, Triwahju; Arifin, Achmad Zainul
Jurnal Arus Elektro Indonesia Vol. 11 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v11i2.51570

Abstract

Testing the overall performance of electric vehicles requires extensive on-road testing with varied conditions. Considering the amount of time and effort required for on-road testing, using a dynamometer as a testing tool can be an alternative. In this research, a dynamometer is modeled so that the load used is equivalent to the load on the urban car of the University of Jember. The purpose of this study is to analyze and validate the dynamometer in accordance with actual road testing conditions. The research was conducted by comparing power consumption measurements obtained from on-road testing with those obtained using a dynamometer. In each test, variations in PWM usage strategies were also applied to determine which PWM variations result in the most efficient power consumption. The study shows that the difference in power measurement results between the on-road testing method and the dynamometer method has a maximum difference of 7.58%. The resulting discrepancy is relatively small, leading to the conclusion that testing with the dynamometer method can represent direct testing. Another result obtained is that the variation of using constant PWM achieves the most efficient energy consumption.
Prototype of Temperature and Humidity Control and Monitoring System in 20 Kv Cubicles Using IoT-Based PID Control Satryo Budi Utomo; Widyono Hadi; Arkan Bari Amanullah; Gamma Aditya Rahardi; Zulfa Fahrunnisa; Dananjaya Endi Pratama
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 20 No. 2 (2026)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cubicles are key parts of electrical power distribution systems. They control, connect, and protect equipment to ensure electricity is delivered safely and efficiently. However, poor regulation of temperature and humidity in medium-voltage cubicles (20 kV) can trigger corona discharge, leading to power losses, insulation degradation, and reduced operational reliability. This study presents the design and implementation of an Internet of Things (IoT)-based automatic control system for maintaining optimal environmental conditions inside cubicles. The system integrates an ESP32 microcontroller, a DHT22 sensor for temperature and humidity measurement, a KY-037 sound sensor for detecting corona discharge, a Positive Temperature Coefficient (PTC) heater, and an exhaust fan. A Proportional-Integral-Derivative (PID) control algorithm adaptively regulates heater and fan operation based on sensor feedback. Real-time monitoring and control are achieved via a Firebase cloud database and a custom mobile application developed with MIT App Inventor. Experimental results show that the system maintains humidity stability within 64%–72% relative humidity, improving energy efficiency and effectively preventing corona discharge conditions. The proposed system enhances operational reliability and extends the service life of cubicle installations in medium-voltage applications.
DEVELOPMENT OF A PORTABLE MOTOR VEHICLE EMISSION TEST SYSTEM BASED ON ARDUINO WITH ANDROID INTERFACE Nur Indah; Dimas Aji Pangestu; Satryo Budi Utomo; Rikko Putra Youlia
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 5 No. 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v5i2.18832

Abstract

This study takes a comprehensive approach by proposing the design of an innovative emission test tool for motorized vehicles. The primary objective of this tool's design is to establish an alternative emission testing apparatus based on Arduino AT-Mega 2560, proficient in capturing vehicle exhaust emissions. The underlying methodology involves an in-depth investigation of various components, including the MQ2 and MQ7 sensors, microcontrollers, and supplementary sensors. This meticulous observational process aims to unravel the fundamental principles that govern the functionality of these components. Subsequently, the study advances to the prototyping phase, manifesting in the creation of an Android-based emission test system. This system capitalizes on the integration of Arduino programming and App Inventor technology. The integrated system is devised to facilitate sensor data acquisition. The empirical results of the tests indicate that the developed tool effectively measures hydrocarbon gas and carbon monoxide gas concentrations, yielding readings of 6.31% and 3.73%, respectively, under engine conditions ranging from 1500 to 3000 rpm with error in regions 1.4% and 5.1% compared to a commercial instrument. However, during the testing phase, certain challenges surfaced. Notably, the presence of water particles within the tool, coupled with the generation of heat due to the accommodated exhaust gases, increased the temperature within the tool's enclosure. Consequently, the sensors' temperature escalated, resulting in erratic sensor behavior and unstable readings. Nonetheless, a significant advantage of the proposed tool lies in its real-time data visualization capability, which is particularly accessible through Android smartphones. This feature enhances the immediacy of test results, facilitating prompt analysis and decision-making. In conclusion, this study lays the groundwork for an innovative emission testing tool that demonstrates promise in addressing the air quality degradation stemming from vehicular emissions.
Implementasi Fuzzy Inference System untuk Pengstabilan Arus pada Baterai Lithium di Electric Vehicle Arizal Mujibtamala Nanda Imron; Satryo Budi Utomo; Dimas Aldy Darmawan; Bambang Sri Kaloko; Zilvanhisna Emka Fitri
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.26372

Abstract

The application of renewable energy in electric vehicles (EVs) is a crucial aspect that requires careful consideration. It is essential to understand the capacity characteristics of lithium polymer batteries to develop effective testing procedures. These procedures should involve monitoring the battery's voltage, current, and temperature during the discharge process with a lamp loading of 5 watts. The results of research prove that fuzzy control is an effective method for minimising the increase in battery temperature by stabilising the current used by the battery. The fuzzy control system effectively regulated a battery with a capacity of 3300 mAh and a voltage of 11.1 Volts, maintaining a stable current of 0.3 A from the 3rd minute until the battery reached its maximum capacity at the 63rd minute. Furthermore, the implementation of fuzzy control has been observed to delay the temperature rise in the battery. Specifically, the use of fuzzy control enables a delay in the temperature rise time by approximately 14 minutes when compared to the system without control. The temperature rise has a significant impact on the discharge speed of lithium polymer batteries.