DETECTION PROCESS OF ENERGY LOSS IN ELECTRIC RAILWAY VEHICLES
Abstract
Keywords
Full Text:
PDFReferences
Naldini, F., Pellegrini, P., Rodriguez, J., 2022, Real-Time Optimization of Energy Consumption in Railway Networks, Transportation Research Procedia, 2022, 62, pp. 35-42.
Fischer, S., 2015, Traction Energy Consumption of Electric Locomotives and Electric Multiple Units at Speed Restrictions, Acta Technica Jaurinensis, 8(3), pp. 240-256.
Benatia, D., 2022, Ring the alarm! Electricity markets, renewables, and the pandemic, Energy Economics, 106, 105755.
Sun, Y., Anwar, A., Razzaq, A., Liang, X., Siddique, M., 2022, Asymmetric role of renewable energy, green innovation, and globalization in deriving environmental sustainability: Evidence from top-10 polluted countries, Renewable Energy, 185, pp. 280-290.
Shao, J., Wang, L., 2023, Can new-type urbanization improve the green total factor energy efficiency? Evidence from China, Energy, 262, 125499.
Minaminosono, K., Hashimoto, M., Yoshinaga, T., 2019, Study of potential and utilization of regenerative power in electric railway, 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019, Paris, pp. 164-168.
Wang, Y.Z., Zhou, S., Ou, X.M., 2021, Development and application of a life cycle energy consumption and CO2 emissions analysis model for high-speed railway transport in China, Advances in Climate Change Research, 12(2), pp. 270-280.
Ćwil, M., Bartnik, W., Jarzębowski, S., 2021, Railway vehicle energy efficiency as a key factor in creating sustainable transportation systems, Energies, 14(16), 5211.
Ren, J., Zhang, Q., Liu, F., 2020, Analysis of factors affecting traction energy consumption of electric multiple unit trains based on data mining, Journal of Cleaner Production, 262, 121374.
Wang, P., Zhu, Y., Corman, F., 2022, Passenger-centric periodic time-table adjustment problem for the utilization of regenerative energy, Computers & Industrial Engineering, 172, Part A, 108578.
Hamada, A.T., Orhan, M.F., 2022, An overview of regenerative braking systems, Journal of Energy Storage, 52, Part C, 105033.
Lu, S., Weston, P., Hillmansen, S., Gooi, H.B., Roberts, C., 2014, Increasing the regenerative braking energy for railway vehicles, IEEE Transactions on Intelligent Transportation Systems, 15(6), pp. 2506-2515.
Zhao, N., Tian, Z., Hillmansen, S., Chen, L., Roberts, C., Gao, S., 2022, Timetable Optimization and Trial Test for Regenerative Braking Energy Utilization in Rapid Transit Systems, Energies, 15(13), 4879.
Zhang, L., He, D., He, Y., Liu, B., Chen, Y., Shan, S., 2022, Real-time energy saving optimization method for urban rail transit train time-table under delay condition, Energy, 258, 124853.
Li, J., Bai, Y., Chen, Y., Yang, L., Wang, Q., 2022, A two-stage stochastic optimization model for integrated tram time-table and speed control with uncertain dwell times, Energy, 260, 125059.
Schindler, C., 2022, The Aachen Rail Shuttle ARS - Autonomous and energy self-sufficient feeder transport, Journal of Rail Transport Planning and Management, 21, 100299.
Yin, J., Ning, C., Tang, T., 2022, Data-driven models for train control dynamics in high-speed railways: LAG-LSTM for train trajectory prediction, Information Sciences, 600, pp. 377-400.
Huang, K., Liao, F., Gao, Z., 2021, An integrated model of energy-efficient time-tabling of the urban rail transit system with multiple interconnected lines, Transportation Research Part C: Emerging Technologies, 129, 103171.
Guo, Y., Zhang, C., 2022, Near real-time time-tabling for metro system energy optimization considering passenger flow and random delays, Journal of Rail Transport Planning and Management, 21, 100292.
Xu, Y., Jia, B., Li, X., Li, M., Ghiasi, A., 2020, An integrated micro-macro approach for high-speed railway energy-efficient time-tabling problem, Transportation Research Part C: Emerging Technologies, 112, pp. 88-115.
Liu, W., Su, S., Tang, T., Wang, X., 2021, A DQN-based intelligent control method for heavy haul trains on long steep downhill section, Transportation Research Part C: Emerging Technologies, 129, 103249.
He, D., Zhang, L., Guo, S., Chen, Y., Shan, S., Jian, H., 2021, Energy-efficient train trajectory optimization based on improved differential evolution algorithm and multi-particle model, Journal of Cleaner Production, 304, 127163.
Xing, Z., Zhu, J., Zhang, Z., Qin, Y., Jia, L., 2022, Energy consumption optimization of tramway operation based on improved PSO algorithm, Energy, 258, 124848.
Habib, L., Oukacha, O., Enjalbert, S., 2021, Towards Tramway Safety by Managing Advanced Driver Assistance Systems depending on Grades of Automation, IFAC-PapersOnLine, 54(2), pp. 227-232.
Wang, Y., Zhu, S., D'Ariano, A., Yin, J., Miao, J., Meng, L., 2021, Energy-efficient time-tabling and rolling stock circulation planning based on automatic train operation levels for metro lines, Transportation Research Part C: Emerging Technologies, 129, 103209.
Lai, Q., Liu, J., Haghani, A., Meng, L., Wang, Y., 2020, Energy-efficient speed profile optimization for medium-speed maglev trains, Transportation Research Part E: Logistics and Transportation Review, 141, 102007.
Cipek, M., Pavković, D., Krznar, M., Kljaić, Z., Mlinarić, T.J., 2021, Comparative analysis of conventional diesel-electric and hypothetical battery-electric heavy haul locomotive operation in terms of fuel savings and emissions reduction potentials, Energy, 232, 121097.
Saw, L.H., Poon, H.M., Chong, W.T., Wang, C.T., Yew, M.C., Yew, M.K., Ng, T.C., 2019, Numerical modeling of hybrid supercapacitor battery energy storage system for electric vehicles, Energy Procedia, 158, pp. 2750-2755.
Yang, J., Xu, X., Peng, Y., Zhang, J., Song, P., 2019, Modeling and optimal energy management strategy for a catenary-battery-ultracapacitor based hybrid tramway, Energy, 183, pp. 1123-1135.
Yuan, J., Cheng, K., Qu, K., 2022, Optimal dispatching of high-speed railway power system based on hybrid energy storage system, Energy Reports, 8(13), pp. 433-442.
Zhang, B., Lu, S., Peng, Y., Wu, C., Meng, G., Feng, M., Liu, B., 2022, Impact of On-Board Hybrid Energy Storage Devices on Energy-Saving Operation for Electric Trains in DC Railway Systems, Batteries, 8(10), 167.
Lamedica, R., Ruvio, A., Tanzi, E., Palagi, L., 2022, O. Si. Si: Optimal SIzing and SIting of stationary storage systems in railway electrical lines using a blackbox integer model, Journal of Energy Storage, 51, 104350.
Gouribhatla, R., Pulugurtha, S.S., 2022, Drivers' behavior when driving vehicles with or without advanced driver assistance systems: A driver simulator-based study, Transportation research interdisciplinary perspectives, 13, 100545.
Sethuraman, R., Sellappan, S., Shunmugiah, J., Subbiah, N., Govindarajan, V., Neelagandan, S., 2023, An optimized AdaBoost Multi-class support vector machine for driver behavior monitoring in the advanced driver assistance systems, Expert Systems with Applications, 212, 118618.
Scheepmaker, G.M., Willeboordse, H.Y., Hoogenraad, J.H., Luijt, R.S., Goverde, R.M., 2020, Comparing train driving strategies on multiple key performance indicators, Journal of Rail Transport Planning & Management, 13, 100163.
Rodriguez, R., Trovão, J.P.F., Solano, J., 2022, Fuzzy logic-model predictive control energy management strategy for a dual-mode locomotive, Energy Conversion and Management, 253, 115111.
Fischer, S., 2022, Geogrid reinforcement of ballasted railway superstructure for stabilization of the railway track geometry – A case study, Geotextiles and Geomembranes, 50(5), pp. 1036-1051.
Przybyłowicz, M., Sysyn, M., Gerber, U., Kovalchuk, V., Fischer, S., 2022, Comparison of the effects and efficiency of vertical and side tamping methods for ballasted railway tracks, Construction and Building Materials, 314, Part B, 125708.
Liu, J., Sysyn, M., Liu, Z., Kou, L., Wang, P., 2022, Studying the Strengthening Effect of Railway Ballast in the Direct Shear Test due to Insertion of Middle-size Ballast Particles, Journal of Applied and Computational Mechanics, 8(4), pp. 1387-1397.
Kurhan, D., Kurhan, M., Hmelevska, N., 2022, Development of the High-Speed Running of Trains in Ukraine for Integration with the International Railway Network, Acta Polytechnica Hungarica, 19(3), 207-218.
Kurhan, M., Kurhan, D., Husak, M., Hmelevska, N., 2022, Increasing the Efficiency of the Railway Operation in the Specialization of Directions for Freight and Passenger Transportation, Acta Polytechnica Hungarica, 19(3), pp. 231-244.
Eller, B., Movahedi Rad, M., Fischer, S., 2022, Laboratory Tests and FE Modeling of the Concrete Canvas, for Infrastructure Applications, Acta Polytechnica Hungarica, 19(3), pp. 9-20.
Németh, A., Fischer, S., 2021, Investigation of the glued insulated rail joints applied to CWR tracks, Facta Universitatis-Series Mechanical Engineering, 19(4), 681-704.
Wang, J., Siahkouhi, M., Astaraki, F., Uuganbayar, S., Jing, G., Movahedi Rad, M., 2022, Modification of Concrete Railway Sleeper Mix Design, Using a Hybrid Application of Steel Fibers, Acta Polytechnica Hungarica, 19(3), pp. 119-130.
Kuchak, A.J.T., Marinkovic, D., Zehn, M., 2021, Parametric Investigation of a Rail Damper Design Based on a Lab-Scaled Model, Journal of Vibration Engineering and Technologies, 9(1), pp. 51-60.
Kuchak, A.T.J., Marinkovic, D., Zehn, M., 2020, Finite element model updating - Case study of a rail damper, Structural Engineering and Mechanics, 73(1), pp. 27-35.
Pultznerová, A., Mečár, M., Šestáková, J., Hodás, S., 2022, Influence of the Condition of the Railway Superstructure on Traffic Noise on the Regional Line, Civil and Environmental Engineering, in press, https://doi.org/10.2478/cee-2022-0037.
Jóvér, V., Gáspár, L., Fischer, S., 2022, Investigation of Tramway Line No. 1, in Budapest, Based on Dynamic Measurements, Acta Polytechnica Hungarica, 19(3), pp. 65-76.
Kampczyk, A., Gamon, W., Gawlak, K., 2022, Implementation of Non-Contact Temperature Distribution Monitoring Solutions for Railway Vehicles in a Sustainability Development System Transport, Sensors, 22(24), 9624.
Macura, D., Laketić, M., Pamučar, D., Marinković, D., 2022, Risk Analysis Model with Interval Type-2 Fuzzy FMEA – Case Study of Railway Infrastructure Projects in the Republic of Serbia, Acta Polytechnica Hungarica, 19(3), pp. 103-118.
DOI: https://doi.org/10.22190/FUME221104046F
Refbacks
- There are currently no refbacks.
ISSN: 0354-2025 (Print)
ISSN: 2335-0164 (Online)
COBISS.SR-ID 98732551
ZDB-ID: 2766459-4