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基于国六商用车实际运行数据的行驶工况研究

王磊 袁晓磊 张帅帅 王军 白海康

内燃机工程2024,Vol.45Issue(5):99-108,10.
内燃机工程2024,Vol.45Issue(5):99-108,10.DOI:10.13949/j.cnki.nrjgc.2024.05.012

基于国六商用车实际运行数据的行驶工况研究

Research on Driving Cycles of China Ⅵ Commercial Vehicles Based on Real-World Driving Data

王磊 1袁晓磊 2张帅帅 1王军 1白海康1

作者信息

  • 1. 陕西重型汽车有限公司 汽车工程研究院,西安 710200
  • 2. 长安大学 汽车学院,西安 710064
  • 折叠

摘要

Abstract

To improve the accuracy of fuel consumption prediction based on driving cycles,an innovative approach to construct driving cycles for different market segments of heavy-duty commercial vehicles was proposed.To validate the imperative and rationality of the proposed approach,the daily industrial product market was used as an example to conduct a big data analysis of the driving conditions of National Ⅵ commercial vehicles.Based on the onboard Tianxingjian Intelligent Network System,driving data of 3 000 National Ⅵ series semi-trailer trucks in this market were collected.Through a series of steps,including kinematic segmentation,data dimensionality reduction,and segment chaining,three representative driving cycles were constructed.Based on this,a simulation model was built in AVL Cruise to predict the fuel consumption of the target market users and was compared with the actual fuel consumption and the predicted results based on legislative standard driving cycles of China world transient vehicle cycle(C-WTVC)and China heavy-duty commercial vehicle test cycle for tractor-trailer(CHTC-TT).The results show the constructed driving cycles for the industrial market segment are closer to the real-world driving characteristics of this market,with an average relative error reduction of 32.97 percentage points and 18.67 percentage points compared with C-WTVC and CHTC-TT for the characteristic parameters,respectively.It can also more accurately predict users'fuel consumption,with improvement in prediction accuracy of 7% and 4%,respectively.Therefore,the constructed driving cycles for target market segments of heavy-duty vehicles can effectively improve the prediction accuracy of driving characteristics and fuel consumption.

关键词

国六/商用车/日用工业品/载荷因子/特征参数/行驶循环

Key words

China Ⅵ/commercial vehicle/daily industrial product/loading factor/characteristic parameter/driving cycle

分类

建筑与水利

引用本文复制引用

王磊,袁晓磊,张帅帅,王军,白海康..基于国六商用车实际运行数据的行驶工况研究[J].内燃机工程,2024,45(5):99-108,10.

基金项目

国家重点研发计划项目(2017YFB0103504-02)National Key Research and Development Program of China(2017YFB0103504-02) (2017YFB0103504-02)

内燃机工程

OA北大核心CSTPCD

1000-0925

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