Analisis Arus Motor DC pada Kereta Rel Listrik JR205 Berdasarkan Pengujian Lapangan (Studi pada PT. Kereta Commuter Indonesia Balai Yasa Manggarai dan Depo Krl Depok)
DOI:
https://doi.org/10.21009/JEVET.0071.01Keywords:
DC motor current, hioki HiCorder, KRL JR 205Abstract
Abstrak
Penelitian ini bertujuan untuk menganalisis karakteristik arus input motor DC pada kereta rel listrik JR 205 berdasarkan hasil pengujian lapangan menggunakan alat Hioki HICorder. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan data sekunder yang diperoleh dari pengukuran arus selama operasi KRL. Data dianalisis secara statistik dengan menghitung rata-rata arus pada tiap notch operasi dan menghitung daya rata-rata motor menggunakan tegangan konstan 375 V sebagai parameter input, dengan rumus P=V×I. Hasil analisis menunjukkan adanya variasi pola arus yang signifikan pada masing-masing notch, yang mencerminkan dinamika konsumsi energi motor DC selama operasi. Perhitungan daya rata-rata juga mengungkapkan kesesuaian antara nilai yang diukur dengan spesifikasi teknis motor, memberikan gambaran tentang performa dan kestabilan operasional motor. Berdasarkan temuan tersebut, dapat disimpulkan bahwa analisis pola arus motor DC melalui pengujian lapangan memberikan informasi komprehensif mengenai perilaku konsumsi energi motor dalam kondisi operasi riil, yang selanjutnya dapat dijadikan acuan untuk pengembangan sistem traksi yang lebih efisien pada KRL. Penelitian ini diharapkan dapat memberikan kontribusi dalam upaya peningkatan kinerja dan keandalan sistem penggerak pada transportasi rel listrik.
Abstract
This study aims to analyze the characteristics of the input current of the DC motor in the JR 205 electric commuter train based on field test results using the Hioki HICorder. The research method employed is descriptive quantitative, utilizing secondary data obtained from current measurements during train operations. The data are statistically analyzed by calculating the average current for each operational notch and determining the average motor power using a constant voltage of 375 V as the input parameter, according to the formula P=V×I. The analysis reveals significant variations in the current patterns across different notches, reflecting the dynamic energy consumption behavior of the DC motor during operation. The calculation of average power also demonstrates consistency between the measured values and the technical specifications of the motor, providing insights into the performance and operational stability of the motor. Based on these findings, it can be concluded that analyzing the DC motor’s current patterns through field testing provides comprehensive information about the motor’s energy consumption behavior under real operating conditions, which can serve as a basis for developing a more efficient traction system for commuter trains. This study is expected to contribute to enhancing the performance and reliability of propulsion systems in electric rail transportation
References
Bulková, Z., Gašparík, J., Mašek, J., & Zitrický, V. (2022). Analytical Procedures for the Evaluation of Infrastructural Measures for Increasing the Capacity of Railway Lines. Sustainability, 14(21), 14430. https://doi.org/10.3390/su142114430
D’Achiardi, D., Annaswamy, A. M., Mazumder, S. K., & Pilo, E. (2022). Transactive Control of Electric Railways Using Dynamic Market Mechanisms. IEEE Transactions on Control Systems Technology, 31(2), 748–760. https://doi.org/10.1109/tcst.2022.3202171
Kim, S.-K., & Ahn, C. K. (2020). DC Motor Speed Regulator via Active Damping Injection and Angular Acceleration Estimation Techniques. IEEE/CAA Journal of Automatica Sinica, 8(3), 641–647. https://doi.org/10.1109/jas.2020.1003548
Krishna, V. V., Wu, Q., Hossein-Nia, S., Spiryagin, M., & Stichel, S. (2022). Long freight trains & long-term rail surface damage – a systems perspective. Vehicle System Dynamics, 61(6), 1–24. https://doi.org/10.1080/00423114.2022.2085584
Kumar, R., Sah, B., & Kumar, P. (2023). Stray Loss Formulation for Inverter-Driven Induction Motors for a Wide Range of Switching Frequency and Motor’s Loading. IEEE Transactions on Industrial Electronics, 71(3), 2385–2394. https://doi.org/10.1109/tie.2023.3269484
Laiton-Bonadiez, C., Branch-Bedoya, J. W., Zapata-Cortes, J., Paipa-Sanabria, E., & Arango-Serna, M. (2022). Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review. Sensors, 22(7), 2491. https://doi.org/10.3390/s22072491
Lättman, K., & Otsuka, N. (2024). Sustainable Development of Urban Mobility through Active Travel and Public Transport. Sustainability, 16(2), 534. https://doi.org/10.3390/su16020534
Liu, Y., Lyu, X., Chang, M., & Yang, Q. (2024). Low-frequency oscillation of train–network system considering traction power supply mode. Railway Engineering Science, 32(2), 244–256. https://doi.org/10.1007/s40534-023-00328-y
Ma, J., Liu, X., Hu, J., Fei, J., Zhao, G., & Zhu, Z. (2023). Stator ITSC Fault Diagnosis of EMU Asynchronous Traction Motor Based on apFFT Time-Shift Phase Difference Spectrum Correction and SVM. Energies, 16(15), 5612–5612. https://doi.org/10.3390/en16155612
Mahmoudi, A., Soong, W. L., & Chiba, A. (2023). Guest Editorial Design and Optimisation of Electric Motors for Transport Electrification. IEEE Transactions on Industry Applications, 59(2), 1240–1241. https://doi.org/10.1109/tia.2023.3237517
Meng, X., Zhang, Q., Hu, G., Zhang, G., Zhang, Y., Liu, F., & Liu, Z. (2023). Multi-vehicle accessed railway vehicle-grid system stability analysis and optimization based on OLTC. Control Engineering Practice, 141, 105693. https://doi.org/10.1016/j.conengprac.2023.105693
Popovich, N. D., Rajagopal, D., Tasar, E., & Phadke, A. (2021). Economic, environmental and grid-resilience benefits of converting diesel trains to battery-electric. Nature Energy, 6(11), 1017–1025. https://doi.org/10.1038/s41560-021-00915-5
Shao, L., Karci, A. E. H., Tavernini, D., Sorniotti, A., & Cheng, M. (2020). Design Approaches and Control Strategies for Energy-Efficient Electric Machines for Electric Vehicles—A Review. IEEE Access, 8, 116900–116913. https://doi.org/10.1109/access.2020.2993235
Wang, X., Tang, T., Su, S., Yin, J., Gao, Z., & Lv, N. (2021). An integrated energy-efficient train operation approach based on the space-time-speed network methodology. Transportation Research Part E-Logistics and Transportation Review, 150, 102323–102323. https://doi.org/10.1016/j.tre.2021.102323
Wu, Y., Yuan, Z., Xiao, Q., & Yang, D. (2022). Customized bus scheme design of large transport terminals with jointly optimization of departure time, vehicle allocation and routing. IET Intelligent Transport Systems, 17(1), 85–101. https://doi.org/10.1049/itr2.12240





