车载数据驱动下重载列车纵向力实时预测方法

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中图分类号：U270.1 文献标志码：A DOI：10.16385/j.cnki.issn.1004-4523.202506045

Abstract：Toaceveal-tiepredictionoftrainlongitudialfoceswithabalacebeteencomputatioalauacyadspedthisstudy developsarealtimeandacuratecalculationmethodforheavy-haultrainslongitudinalforcebasedononboardmonitoringdataand experimental data.Thelocomotivetractionandelectricbrakingforcesareupdatedusingonboarddata，andthebasicrumningresistance coeficientsoftetrainareadaptivelydjustedFurtheore，teempiricalmodelandfuidmodelsofteairrakingsytemarecopared andahig-precisionequlibmiteratiomethodisestablisedtoslethelongitudialdyamicequatioofthetrainTofurtrprove computatioalcypifdlatioetdforioidialfsveoedincbatisposld using the Duhamel integral. Taking the example of heavy haul rain passing through the typical long heavy down grade from -9‰ ，the precise method shows amaximum error of 3.72kmh in predicting the train operating speed，and achieves good agreement with respect to the relativedisplacementtrend，magnitude，andkeyipactresponsesoftebufer.Thesimplifiedmethodyieldsacouplerforeeor distribution similar tothatofthe precise method insections wherethe train operationisrelativelystable，with approximately 68% of the errors lessthan 64.6kN 95% less than 129.2kN ，and 99.7% less than 193.8kN .However，due to the linearized treatmentof buffercharacteristics andrelatedparameters，tesimplifidetodpefospoorlyinsimulatingsort-tesevereongitudialipactsduringtrasitiosn operating conditions.

Keywords：haaultra;ngidialdyamics;ehiclcarieddata;longiudalforeprediction;valuatonofslatioults

随着3万吨重载列车逐渐运行，中国重载运输进入了全新的发展阶段。（剩余17251字）