Energy Consumption and Running Time for Trains: Modelling of Running Resistance and Driver Behaviour Based on Full Scale Testing

Details

• Creators:
  Lukaszewicz, Piotr
• Corporate Creators:
  Royal Institute of Technology. Department of Vehicle Engineering
• Subject/TRT Terms:
  • Energy consumption
  • Optimization
  • Passenger handling
  • Timetables
  • Travel demand
• Publication/ Report Number:
  TRITA-FKT 2001:25
• Resource Type:
  Thesis
• Geographical Coverage:
  United States
• Corporate Publisher:
  Royal Institute of Technology. Department of Vehicle Engineering
• Abstract:
  For estimating the energy consumption and running time of trains, this thesis aims at developing validated models of train running resistance and of driver behavior: ; • A methodology for determining running resistance, called by energy coasting method is demonstrated. The running resistance of high speed train SJ X2000, conventional loco hauled passenger trains and freight trains are parameterized. The influence of speed, number of axles, axle load, track type, train length, train configuration are head and tail wind are studied. ; • Empirical models of the braking and the traction system, including the energy efficiency, are developed for the electrical locomotive of type SJ Rc4, without energy regeneration. ; • Driver behavior is studied for freight trains and driving parameters are proposed. An empirical model of freight train driver behavior is developed from full scale testing and observations. ; A computer simulator is developed in Matlab code for calculating energy consumption and the running time of a single train. Comparisons between simulations and measurements are made. Finally, the influence of driving on energy consumption and running time is demonstrated.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/79623/dot_79623_DS1.pdf
• File Type:
  [PDF - 1.99 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:c9902e3fdb8e2097c4731b0c8e4353d6d2d07b747dff7e7f1c962e50d9a39f770269925cb02b6d88f71af74ae87b0525763c99d1cbf93abb3a7f8f49a8eb1f9b