基于聚类和比功率分布的西安城市公交行驶工况研究

doi:10.3969/j.issn.1674-0696.2020.04.05

摘要/Abstract

摘要： 车辆行驶工况是评价车辆油耗、排放等各项性能指标的重要测试依据。采集所选西安城市公交线路实际运行数据，以站点强度和线路强度为数据分配依据，建立了西安城市公交线路工况构建的原始数据总样本。采用聚类法将样本数据分为拥堵、一般、通畅这3类，基于比功率分布构建出3类工况，并以3类数据的时间比例构建出西安城市公交行驶综合工况；从比功率分布和特征值两个角度对综合工况进行验证，并将其与ECE工况和CCBC工况进行了对比分析。结果表明：所建综合工况与样本数据的比功率分布误差为0.003 3，特征值平均误差为0.083，均远小于ECE工况和CCBC工况与样本数据的误差，能准确地反映西安市公交车实际运行状况和排放特征。

关键词: 车辆工程, 比功率分布, 行驶工况, 聚类, 城市公交

Abstract: Vehicle driving condition is the important test basis for evaluating performance indexes, such as vehicle fuel consumption and emission. The actual operation data of the selected Xian city bus lines were collected, and the total original data samples of Xian city bus line construction were established, according to the station strength and line strength as the data distribution basis.Clustering method was used to classify the samples into three types: congestion, general and unobstructed.Three types of driving conditions were constructed respectively based on vehicle specific power, and the comprehensive driving condition of Xian urban buses was constructed by the time proportion of three kinds of data.The comprehensive driving condition was verified from the aspects of vehicle specific power distribution and eigenvalue,and was compared with ECEcondition and CCBC condition.The results show thatthe error of vehicle specific power distribution between the proposed comprehensive condition and the sample data is 0.0033, and the average error of eigenvalue is 0.083.Both two errors are far less thanthe errors between ECE condition, CCBC condition and sample data,which can accurately reflect the actual operation and emission characteristics of city bus inXian.

Key words: vehicle engineering;specific power distribution, driving condition, clustering, city bus

中图分类号:

U469.13

李耀华，宋伟萍，任田园，苟琦智，邵攀登. 基于聚类和比功率分布的西安城市公交行驶工况研究[J]. 重庆交通大学学报（自然科学版）, 2020, 39(04): 23-30.

LI Yaohua, SONG Weiping, REN Tianyuan, GOU Qizhi, SHAO Pandeng. Driving Condition of City Bus in Xian Based on Clustering and VSP Distribution[J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(04): 23-30.

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