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长大编组重载列车空气制动系统快速仿真方法研究

Fast Simulation Research on Air Brake Systems of Long Freight Heavy Haul Trains
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摘要 针对长大编组重载列车空气制动系统仿真模型复杂,仿真速度慢,甚至难以仿真的问题,提出加快仿真速度的方法。首先,在AMESim软件中,根据120-1空气制动阀的压力特性,建立简化模型。其次,将并行方法建立的空气制动系统仿真模型和传统方法建立的空气制动系统仿真模型进行仿真对比,仿真对比的结果表明,并行方法的仿真耗时比传统方法至少减少50%。且列车编组越长,模型越复杂,并行方法的仿真提速效果越明显,仿真耗时最高减少了94%。最后,用并行方法建立2万吨重载列车空气制动系统模型,将仿真结果与试验结果对比,验证仿真模型的准确性。简化单阀模型,并行方法建立空气制动系统模型,减少重载列车空气制动系统模型状态变量,提高仿真速度,为长大编组重载列车空气制动系统提供一种新的快速仿真方法。 The simulation model of the heavy-haul train air brake system is too complex to simulate slowly.In order to solve the problem,fast simulation method has been proposed.First,in the AMESim software,a simplified model is created based on the pressure characteristics of the 120-1 air brake valve.Secondly,the simulation model of air brake system established by parallel method is compared with the simulation model of air brake system established by traditional method.The simulation results show that the simulation time of the parallel method is at least 50%less than that of the traditional method.The longer the train formation is,the more complex the model is,the more obvious the simulation acceleration effect of the parallel method is,and the simulation time is reduced by up to 94%.Finally,the air brake system model of 20000 tons heavy haul train is established by parallel method.The simulation results are compared with the test results to verify the accuracy of the simulation model.The single valve model is simplified and the air brake system model is established by parallel method,which reduces the state variables of the air brake system model of the heavy haul train and improves the simulation speed.It provides a new fast simulation method for the air brake system of the heavy haul train.
作者 郭舜 池茂儒 蒋益平 罗赟 GUO Shun;CHI Maoru;JIANG Yiping;LUO Yun(State Key Laboratory of Rail Transit Vehicle System,Southwest Jiaotong University,Chengdu 610031)
出处 《机械工程学报》 北大核心 2025年第22期167-175,共9页 Journal of Mechanical Engineering
基金 国家自然科学基金资助项目(U21A20168)。
关键词 重载列车 模型简化 并行方法 状态变量 仿真速度 heavy-haul train model simplification parallel methods state variables simulation speed
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