汽车工程 ›› 2022, Vol. 44 ›› Issue (11): 1735-1745.doi: 10.19562/j.chinasae.qcgc.2022.11.011

所属专题: 底盘&动力学&整车性能专题2022年

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重型半挂牵引车行驶工况研究及其动力传动系统优化

尤国贵1,卢剑伟1(),苏俊收2,栾铭湧3,黄帅4   

  1. 1.合肥工业大学汽车与交通工程学院,合肥  230009
    2.徐工集团高端工程机械智能制造国家重点实验室,徐州  221000
    3.中国重型汽车集团汽车研究总院,济南  250000
    4.徐工汽车事业部技术中心,徐州  221000
  • 收稿日期:2022-05-17 修回日期:2022-06-13 出版日期:2022-11-25 发布日期:2022-11-19
  • 通讯作者: 卢剑伟 E-mail:jwlu75@163.com
  • 基金资助:
    国家重点研发计划(2021YFE0116600);江苏青年自然科学基金(BK20160223)

Research on Driving Cycles of Heavy Semi-trailer Tractor and Optimization of Its Powertrain System

Guogui You1,Jianwei Lu1(),Junshou Su2,Mingyong Luan3,Shuai Huang4   

  1. 1.School of Automobile and Transportation Engineering,Hefei University of Technology,Hefei  230009
    2.State Key Laboratory of Intelligent Manufacturing of Advanced Construction Machinery,Xuzhou  221000
    3.Automotive Research Institute,China Heavy Duty Vehicle Group,Jinan  250000
    4.Xugong Automotive Technology Center,Xuzhou  221000
  • Received:2022-05-17 Revised:2022-06-13 Online:2022-11-25 Published:2022-11-19
  • Contact: Jianwei Lu E-mail:jwlu75@163.com

摘要:

本文利用车辆行驶信息大数据平台实地采集了山西地区重型半挂牵引车的行驶数据。利用主成分分析、聚类分析和马尔科夫法构建了山西地区的重型半挂牵引车行驶工况。对C-WTVC、CHTC-TT、山西工况的燃油消耗量分别进行仿真,仿真结果验证了行驶工况构建的准确性。基于山西行驶工况对整车传动系统进行优化匹配,优化传动系统后的车辆发动机工作在经济区域的概率增加,百公里油耗比基础车型减少0.94 L。实车测试的油耗数据证实了构建的行驶工况曲线能更好地表征山西地区重型半挂牵引车的行驶特性。本文所提出的基于山西工况的整车动力系统匹配的仿真方法,有助于设计出适合山西地区的重型半挂牵引车的高效动力总成系统。

关键词: 重型半挂牵引车, 行驶工况, 仿真, 燃油经济性, 优化

Abstract:

In this paper, the driving data of heavy semi-trailer tractor in Shanxi region are collected on the spot by utilizing the big data platform of vehicle driving information. Principal component analysis, cluster analysis and Markov method are used to construct the driving cycle of heavy semi-trailer tractor in Shanxi region. The fuel consumptions of C-WTVC, CHTC-TT, and Shanxi driving cycles are simulated respectively, and the simulation results verify the accuracy of the driving cycles constructed. The powertrain system of the vehicle is optimized and matched based on Shanxi driving cycles. As a result, the probability of the vehicle engine working in economy zones increases, and the fuel consumption per 100 km is 0.94 L less than that of the original vehicle. The fuel consumption data of the real vehicle tested confirm that the driving cycle curve can better represent the driving characteristics of heavy semi-trailer tractors in Shanxi region. The simulation method of vehicle powertrain matching based on Shanxi driving cycles proposed is helpful to the design of highly-efficient powertrain system of heavy semi-trailer tractors suitable for Shanxi region.

Key words: heavy semi-trailer tractor, driving cycles, simulation, fuel economy, optimization