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Research on optimization and evaluation method of heavy-haul train cyclic braking manipulation
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Wen He, Chongyi Chang, Lan Li, Yupan Song
Railway Sciences | 2025, 4(2) : 231 - 248
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Railway Sciences | 2025, 4(2): 231-248
Research paper
Research on optimization and evaluation method of heavy-haul train cyclic braking manipulation
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Wen He, Chongyi Chang, Lan Li, Yupan Song
Affiliations
  • Railway Science and Technology Research and Development Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • China Railway Taiyuan Group Corporation Limited, China Railway Group Ltd, Beijing, China
  • Wen He received his M. Eng. Degree from China Academy of Railway Sciences in 2023. Now he is a research assistant in the Railway S&T R&D Center of China Academy of Railway Sciences, focusing on the train dynamics and optimal control.

Published: 2025-04-10 doi: 10.1108/RS-11-2024-0048
Outline
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Purpose

The study aims to build a high-precision longitudinal dynamics model for heavy-haul trains and validate it with line test data, present an optimization method for multi-stage cyclic brakes based on the model and conduct a multi-objective detailed evaluation of the driver's manipulation during cyclic braking.

Design/methodology/approach

The high-precision longitudinal train dynamics model was established and verified by the cyclic braking test data of the 20,000 t heavy-haul combination train on the long and steep downgrade. Then the genetic algorithm is employed for optimization subsequent to decoupling multiple cyclic braking procedures, with due consideration of driver operation rules. For evaluation, key manipulation assessments in the scenario are prioritized, supplemented by multi-objective evaluation requirements, and the computational model is employed for detailed evaluation analysis.

Findings

Based on the model, experimental data reveal that the probability of longitudinal force error being less than 64.6 kN is approximately 68%, 95% for less than 129.2 kN and 99.7% for less than 193.8 kN. Upon optimizing manipulations during the cyclic braking, the maximum reduction in coupler force spans from 21% ~23.9%. And the evaluation scores imply that a proper elevation of the releasing speed favors safety. A high electric braking force, although beneficial to some extent for energy-saving, is detrimental to reducing coupler force.

Originality/value

The results will provide a theoretical basis and practical guidance for further ensuring the safety and energy-efficient operation of heavy haul trains on long downhill sections and improving the operational quality of heavy-haul trains.

Heavy-haul trains  /  Longitudinal train dynamics  /  Cyclic brake  /  Manipulation optimization  /  Detailed manipulation evaluation
Wen He, Chongyi Chang, Lan Li, Yupan Song. Research on optimization and evaluation method of heavy-haul train cyclic braking manipulation[J]. Railway Sciences, 2025 , 4 (2) : 231 -248 . DOI: 10.1108/RS-11-2024-0048
  • Science and Technology Development Project Agreement/Contract, China State Railway Group Co., Ltd(J2022J009)
  • China Academy of Railway Sciences Co., Ltd(2024YJ124)
Year 2025 volume 4 Issue 2
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Article Info
doi: 10.1108/RS-11-2024-0048
  • Receive Date:2024-11-22
  • Online Date:2026-06-11
  • Published:2025-04-10
Article Data
Affiliations
History
  • Received:2024-11-22
  • Revised:2025-01-06
  • Accepted:2025-01-06
Funding
Science and Technology Development Project Agreement/Contract, China State Railway Group Co., Ltd(J2022J009)
China Academy of Railway Sciences Co., Ltd(2024YJ124)
Affiliations
    Railway Science and Technology Research and Development Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
    China Railway Taiyuan Group Corporation Limited, China Railway Group Ltd, Beijing, China

Corresponding:

Wen He can be contacted at:
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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