Train energy simulation with locomotive adhesion model

Abstract Railway train energy simulation is an important and popular research topic. Locomotive traction force simulations are a fundamental part of such research. Conventional energy calculation models are not able to consider locomotive wheel–rail adhesions, traction adhesion control, and locomoti...

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Main Authors: Qing Wu, Maksym Spiryagin, Colin Cole
Format: Article
Language:English
Published: SpringerOpen 2020-02-01
Series:Railway Engineering Science
Subjects:
Online Access:https://doi.org/10.1007/s40534-020-00202-1
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spelling doaj-ae2ca6986a514564907de193b152fd4e2021-02-07T12:30:44ZengSpringerOpenRailway Engineering Science2662-47452662-47532020-02-01281758410.1007/s40534-020-00202-1Train energy simulation with locomotive adhesion modelQing Wu0Maksym Spiryagin1Colin Cole2Centre for Railway Engineering, Central Queensland UniversityCentre for Railway Engineering, Central Queensland UniversityCentre for Railway Engineering, Central Queensland UniversityAbstract Railway train energy simulation is an important and popular research topic. Locomotive traction force simulations are a fundamental part of such research. Conventional energy calculation models are not able to consider locomotive wheel–rail adhesions, traction adhesion control, and locomotive dynamics. This paper has developed two models to fill this research gap. The first model uses a 2D locomotive model with 27 degrees of freedom and a simplified wheel–rail contact model. The second model uses a 3D locomotive model with 54 degrees of freedom and a fully detailed wheel–rail contact model. Both models were integrated into a longitudinal train dynamics model with the consideration of locomotive adhesion control. Energy consumption simulations using a conventional model (1D model) and the two new models (2D and 3D models) were conducted and compared. The results show that, due to the consideration of wheel–rail adhesion model and traction control in the 3D model, it reports less energy consumption than the 1D model. The maximum difference in energy consumption rate between the 3D model and the 1D model was 12.5%. Due to the consideration of multiple wheel–rail contact points in the 3D model, it reports higher energy consumption than the 2D model. An 8.6% maximum difference in energy consumption rate between the 3D model and the 1D model was reported during curve negotiation.https://doi.org/10.1007/s40534-020-00202-1Energy consumptionAdhesion modelTraction controlLongitudinal train dynamicsParallel co-simulation
collection DOAJ
language English
format Article
sources DOAJ
author Qing Wu
Maksym Spiryagin
Colin Cole
spellingShingle Qing Wu
Maksym Spiryagin
Colin Cole
Train energy simulation with locomotive adhesion model
Railway Engineering Science
Energy consumption
Adhesion model
Traction control
Longitudinal train dynamics
Parallel co-simulation
author_facet Qing Wu
Maksym Spiryagin
Colin Cole
author_sort Qing Wu
title Train energy simulation with locomotive adhesion model
title_short Train energy simulation with locomotive adhesion model
title_full Train energy simulation with locomotive adhesion model
title_fullStr Train energy simulation with locomotive adhesion model
title_full_unstemmed Train energy simulation with locomotive adhesion model
title_sort train energy simulation with locomotive adhesion model
publisher SpringerOpen
series Railway Engineering Science
issn 2662-4745
2662-4753
publishDate 2020-02-01
description Abstract Railway train energy simulation is an important and popular research topic. Locomotive traction force simulations are a fundamental part of such research. Conventional energy calculation models are not able to consider locomotive wheel–rail adhesions, traction adhesion control, and locomotive dynamics. This paper has developed two models to fill this research gap. The first model uses a 2D locomotive model with 27 degrees of freedom and a simplified wheel–rail contact model. The second model uses a 3D locomotive model with 54 degrees of freedom and a fully detailed wheel–rail contact model. Both models were integrated into a longitudinal train dynamics model with the consideration of locomotive adhesion control. Energy consumption simulations using a conventional model (1D model) and the two new models (2D and 3D models) were conducted and compared. The results show that, due to the consideration of wheel–rail adhesion model and traction control in the 3D model, it reports less energy consumption than the 1D model. The maximum difference in energy consumption rate between the 3D model and the 1D model was 12.5%. Due to the consideration of multiple wheel–rail contact points in the 3D model, it reports higher energy consumption than the 2D model. An 8.6% maximum difference in energy consumption rate between the 3D model and the 1D model was reported during curve negotiation.
topic Energy consumption
Adhesion model
Traction control
Longitudinal train dynamics
Parallel co-simulation
url https://doi.org/10.1007/s40534-020-00202-1
work_keys_str_mv AT qingwu trainenergysimulationwithlocomotiveadhesionmodel
AT maksymspiryagin trainenergysimulationwithlocomotiveadhesionmodel
AT colincole trainenergysimulationwithlocomotiveadhesionmodel
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