Simulation Research on the Smooth Operation of Heavy-haul Train Based on Multi-particle Model

With the increase of length and weight of a heavy-haul train, longitudinal impact inside the train is also increasing to ensure the stability and safety of autonomous driving. This paper firstly compares the calculated results of the established multi-particle heavy-haul train longitudinal dynamics...

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Bibliographic Details
Main Authors: ZHOU Huangbiao, DU Kaibing, LUO Yuan, ZHANG Zhengfang, GUO Wei, LI Cheng
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2021-01-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.02.002
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Summary:With the increase of length and weight of a heavy-haul train, longitudinal impact inside the train is also increasing to ensure the stability and safety of autonomous driving. This paper firstly compares the calculated results of the established multi-particle heavy-haul train longitudinal dynamics model under starting condition and normal operating condition with real train operating data, and the calculated results are in good agreement with the real data. Then, a simulation study is carried out on a “3+0” marshalling train with 108 heavy freight vehicles, including working conditions and effects of traction force variation on impulse of train. The results show that it is best to start a train at a uniform rate under the starting condition; in the condition of switching from traction to braking in a “fish-back” type variable ramp, the effect of switching to electric braking is best when 1/3 of the train (front part) is on the downhill and the train has the least impulse(that is, electric braking is applied as much as possible after 1/3~2/3 of the train passing through the top of the slope), and the effect of switching to air braking is best when 2/3 of the train (front part) is on the downhill( that is, air braking should be applied as much as possible after 2/3 of the train passes the slope top).
ISSN:2096-5427