基于试验数据驱动的列车制动管压力预测模型

Train Brake Pipe Pressure Prediction Model Based on Test Data

摘要:

为解决长大组合列车安全操作问题，有效利用现有150辆编组智能化制动试验平台，预测超长列车的制动性能，建立精准且适用于不同编组位置车辆的长大组合列车管压力变化预测模型。提出列车管压力差模型这一概念，采用曲线拟合法与理论推导的方式，建立仿真数学模型，并提出理论列车管压力差模型的改进方法。列车管压力差模型与首车列车管压力变化模型叠加后得到列车管压力变化预测模型，与利用智能化制动试验平台得到的多组试验数据进行对比验证，结果表明：误差保持在10%以内。最后，利用该预测模型得到200辆编组组合列车制动作用时的列车管压力变化曲线。

Abstract:

To address the issue of the safe operation of long combined trains， the existing intelligent braking test platform of 150 marshaling vehicles were effectively utilized to predict the braking performance of ultra-long trains. An accurate predictive model was established for changes in train tube pressure in large combinations of vehicles with different grouping positions. A pressure difference model of the train pipe was proposed， a simulation mathematical model was developed using the curve fitting method and theoretical deduction， and an improvement method was suggested for the theoretical pressure difference model of the train pipe. Additionally， a train tube pressure change prediction model was obtained by superimposing the train tube pressure difference model and the first train tube pressure change model. The results indicate that the error is maintained within 10%. Finally， the change curve of train pipe pressure was obtained under the braking action of 200 assembled trains using this prediction model.