The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections

With the energy consumption rising in rail transport, the railway sector is showing increasing interest in the energy-efficient operation of freight trains. Freight trains require more complicated driving strategies than ordinary passenger trains do due to their heavy loads, especially in the long-d...

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Main Authors: Xuan Lin, Qingyuan Wang, Pengling Wang, Pengfei Sun, Xiaoyun Feng
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/10/6/794
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author Xuan Lin
Qingyuan Wang
Pengling Wang
Pengfei Sun
Xiaoyun Feng
author_facet Xuan Lin
Qingyuan Wang
Pengling Wang
Pengfei Sun
Xiaoyun Feng
author_sort Xuan Lin
collection DOAJ
description With the energy consumption rising in rail transport, the railway sector is showing increasing interest in the energy-efficient operation of freight trains. Freight trains require more complicated driving strategies than ordinary passenger trains do due to their heavy loads, especially in the long-distance steep downhill (LDSD) sections that are very common in freight rail lines in China. This paper studies the energy-efficient operation of a freight train considering LDSD sections. An optimal control model including regenerative and pneumatic braking is developed for the freight train. Then, when a train leaves/enters the LDSD section, we verify the uniqueness of control transitions and discuss the speed profile linkage between LDSD and its adjacent sections, which indicates that the periodic braking should be applied on LDSD sections for optimality. Additionally, given the same running time for the entire journey, our analysis shows that electrical braking-full braking strategy is more energy-efficient than coasting-full braking strategy on LDSD sections. Finally, a numerical algorithm for the optimal driving solution is proposed. The simulation results demonstrate that the driving strategies generated by the proposed algorithm performs better than those from fuzzy predictive control and field operation regarding energy saving.
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spelling doaj.art-59d64c1b5fe04e7badd3fa856330156f2022-12-22T02:07:22ZengMDPI AGEnergies1996-10732017-06-0110679410.3390/en10060794en10060794The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill SectionsXuan Lin0Qingyuan Wang1Pengling Wang2Pengfei Sun3Xiaoyun Feng4School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaDepartment of Transport and Planning, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The NetherlandsSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaWith the energy consumption rising in rail transport, the railway sector is showing increasing interest in the energy-efficient operation of freight trains. Freight trains require more complicated driving strategies than ordinary passenger trains do due to their heavy loads, especially in the long-distance steep downhill (LDSD) sections that are very common in freight rail lines in China. This paper studies the energy-efficient operation of a freight train considering LDSD sections. An optimal control model including regenerative and pneumatic braking is developed for the freight train. Then, when a train leaves/enters the LDSD section, we verify the uniqueness of control transitions and discuss the speed profile linkage between LDSD and its adjacent sections, which indicates that the periodic braking should be applied on LDSD sections for optimality. Additionally, given the same running time for the entire journey, our analysis shows that electrical braking-full braking strategy is more energy-efficient than coasting-full braking strategy on LDSD sections. Finally, a numerical algorithm for the optimal driving solution is proposed. The simulation results demonstrate that the driving strategies generated by the proposed algorithm performs better than those from fuzzy predictive control and field operation regarding energy saving.http://www.mdpi.com/1996-1073/10/6/794freight trainenergy-efficient operationmaximum principleperiodic brakingnumerical algorithm
spellingShingle Xuan Lin
Qingyuan Wang
Pengling Wang
Pengfei Sun
Xiaoyun Feng
The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections
Energies
freight train
energy-efficient operation
maximum principle
periodic braking
numerical algorithm
title The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections
title_full The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections
title_fullStr The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections
title_full_unstemmed The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections
title_short The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections
title_sort energy efficient operation problem of a freight train considering long distance steep downhill sections
topic freight train
energy-efficient operation
maximum principle
periodic braking
numerical algorithm
url http://www.mdpi.com/1996-1073/10/6/794
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