基于短行程分析法的列车牵引系统典型运行工况构建

Establishment of Typical Operating Conditions for Train Traction System Based on Short Trip Analysis Method

为解决列车牵引系统在长距离、多工况运行时额定点的效率测试结果不能准确反映其实际能效水平,以及目前缺乏典型运行工况支撑牵引系统能效水平评估并指导产品节能设计等问题,文章提出了一种站点式短行程分析结合非参数检验构建铁路列车牵引系统典型运行工况的方法。其首先对短行程进行划分、筛选及随机组合,然后通过非参数检验选取最佳短行程组合。文章采用该方法以某型电力机车牵引系统为例构建了其典型运行工况,采用运行特征参数值误差分析和车速-牵引力(V-F)分布概率二维矩阵相似度对该方法进行验证。结果显示,所构建的典型运行工况与所采样数据特征值偏差为4.54%,V-F分布概率矩阵相似性为98.06%,这表明所提方法可较为准确地反映列车牵引系统实际运行特性,所构建的典型运行工况与列车牵引系统实际运行情况具有较高的吻合度,可用于列车牵引系统节能设计及能效水平评估。

This paper presents a method to establish typical operating conditions for train traction systems by combining site-based short trip analysis with nonparametric tests,in order to overcome various obstacles,such as inadequate efficiency testing results based on rated points of train traction systems,which often fail to accurately reflect the actual energy efficiency level of systems during long-distance operation under multiple conditions,and the existing absence of typical operating conditions essential for supporting the evaluation of traction systems'energy efficiency levels and guiding the energy-saving design of products.First,short trips were categorized,screened and randomly combined.Then,the optimal short-trip combination was identified through nonparametric tests.Subsequently,the typical operating conditions were developed,taking the traction system of an electric locomotive model as a case study.Furthermore,the proposed method was verified by analyzing errors in operating characteristic parameters and assessing the similarities in velocity-force(V-F)distribution probability two-dimensional matrix.The verification results revealed a deviation between the constructed typical operating conditions and the characteristic values derived from sampled data at 4.54%,and the consistency in V-F distribution probabilities at 98.06%.These findings indicate that the method proposed in this paper accurately reflects the actual operating characteristics of train traction systems,with the established typical operating conditions closely aligning with the actual operating conditions of train traction systems,underscoring their potential for aiding in energy-saving design and energy efficiency evaluation for train traction systems.