吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (2): 364-370.doi: 10.13229/j.cnki.jdxbgxb201502005

• 论文 • 上一篇    下一篇

基于试验测量的瞬时行驶工况构建

孙强1，白书战1，2，韩尔樑2，郭春艳2，李国祥1   

  1. 1.山东大学 能源与动力工程学院，济南 250061；
    2.潍柴动力股份有限公司 新能源技术中心，山东 潍坊 261001
  • 收稿日期:2013-07-14 出版日期:2015-04-01 发布日期:2015-04-01
  • 作者简介:孙强(1987)，男，博士研究生.研究方向:车用油电混合动力技术.E-mail:sunqiangsdu@163.com
  • 基金资助:
    国家科技支撑计划项目 (2011BAG04B00)；国家自然科学基金项目(61034007).

Instantaneous driving cycle construction based on experimental measurement

SUN Qiang1, BAI Shu-zhan1,2, HAN Er-liang2, GUO Chun-yan2, LI Guo-xiang1   

  1. 1.School of Power and Engineering, Shandong University, Ji'nan 250061,China;
    2.New Energy Technology Center, Weichai Power Co., Ltd., Weifang 261001,China
  • Received:2013-07-14 Online:2015-04-01 Published:2015-04-01

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摘要： 以环卫车运行工况为研究对象，通过对西安市环卫车运行工况的试验测量，利用两阶段聚类法构建西安市环卫车典型行驶工况。引入运动区间的概念用于描述运动学片段的瞬时特征，以运动学区间相关参数为特征参数对片段类内的片段进行第二阶段的聚类，实现对类内特征片段的提取和组合，完成典型行驶工况的构建。最后，通过与单次聚类法构建工况的对比，验证使用两阶段聚类法构建车辆瞬时行驶工况的合理性。对比结果表明:两阶段聚类法与传统单次聚类法相比，在速度分布、加速度分布以及速度-加速度联合分布上分别有59.4%、81.7%和22.4%的改进。

关键词: 多元分析, 工况构建, 运动区间, 实验测量, 两阶段聚类

Abstract: A two-stage clustering method is proposed to construct the driving cycle of garbage truck. In this method, first the concept of kinematics interval is put forward to describe segment's instantaneous characteristics, upon which an advanced hierarchical clustering is carried out. Second, proper segments are chosen from each category according to the results of the second stage clustering. Finally, the representative driving cycle is fitted out. The proposed method is applied to construct driving cycles of a typical garbage truck in Xi'an City. For comparison a driving cycle is also constructed using traditional clustering method, actual driving cycle is measured and error analysis is carried out. Results show that compared to the traditional clustering method, the two-stage clustering method can improve the probability distribution of speed by 59.4%, the probability distribution of acceleration by 81.7%, and the joint probability distribution of speed-acceleration by 22.4%.

Key words: multivariate analysis, driving cycle construction, kinematics interval, experimental measurement, two-stage clustering

中图分类号: 

  • U412.37
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