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基于多质点模型的列车制动距离计算方法研究

Research on Train Braking Distance Calculation Method Based on Multi-Particle Model
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摘要 列车制动距离计算主要采用单质点计算方法,即将整列列车简化为一个具有总质量、速度和受力特性相结合的质点,进行整体运动规律的计算分析,与列车实际运行工况存在较大差别。对此,提出基于多质点模型的列车制动距离计算方法,借助列车纵向动力学分析思路,建立列车制动系统仿真模型,将各车辆制动力分别作用于对应车辆上,利用联合仿真方法计算列车制动距离。首先通过AMEsim软件对机车空气制动系统和货车空气制动系统建模,并进一步搭建出列车制动系统模型,接着使用Simulink软件建立列车多质点纵向动力学程序,采用AMEsim和Simulink联合仿真进行列车制动距离计算。使用该方法对两种常见制动工况进行了制动距离计算,并将紧急制动计算结果与线路试验结果进行对比。结果表明,基于制动系统建模的多质点模型计算结果与实际结果较为贴近。 The calculation of train braking distance primarily adopts the single-particle model method,which simplifies the entire train into a particle with combined characteristics of total mass,velocity,and force for analyzing its overall motion behavior.However,this approach significantly differs from the actual operating conditions of trains.This paper proposes a train braking distance calculation method based on a multi-particle model.By employing the longitudinal dynamics analysis approach,a train braking system simulation model is established,where the braking forces of individual vehicles are applied to their respective vehicles.The train braking distance is calculated using a co-simulation method.First,the air braking systems of locomotives and freight cars are modeled using the AMEsim software to construct the train braking system model.Then,a multi-particle longitudinal dynamics program for the train is developed using the Simulink software.AMEsim and Simulink are integrated for co-simulation to calculate the braking distance.The study performs braking distance calculations for two common braking scenarios and compares the emergency braking results with field test data. The results indicate that the multi-particle model based on braking system modeling closely matches the actual results.
作者 刁顺 倪文波 王雪梅 肖康平 DIAO Shun;NI Wenbo;WANG Xuemei;XIAO Kangping(School of Mechanical and Engineering,Southwest Jiaotong University,Chengdu 610031,China)
出处 《机械》 2025年第8期55-61,共7页 Machinery
关键词 制动距离计算 多质点 纵向动力学 联合仿真 braking distance calculation multi-particle longitudinal dynamics co-simulation
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