Research on the Construction Method of Urban Compound Driving Cycle with Curved Road Information

被引：0
|
作者：
Sun W. [1 ,2 ]
Rong J. [1 ]
Wang J. [2 ]
Xu J. [1 ]
Siwen L. [2 ]
Liu L. [1 ]
机构：
[1] College of Automotive Engineering, Changzhou Institute of Technology, Changzhou
[2] Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun
来源：
Qiche Gongcheng/Automotive Engineering | 2021年 / 43卷 / 10期
关键词：
Condition of driving on curve; Data optimization; K⁃means clustering; Principal component analysis; Vehicle driving cycle;
D O I：
10.19562/j.chinasae.qcgc.2021.10.014
中图分类号：
学科分类号：
摘要：
In view of the lack of the condition of driving on curve in urban driving cycle for the evaluation of vehicle energy consumption, a construction method of driving on curve condition in cities is formulated based on short trip analysis. The processing method of optimized data is used to obtain accurate curved road condition data with curved road divided into segments. Principal component analysis is used to compress the experimental data with its dimension lowered. K⁃means clustering algorithm is utilized to classify all the curved road segments for obtaining the representative driving on curve conditions and the representative curved road segments are added into the traditional typical urban comprehensive driving cycle based on the degree of similarity, so as to obtain an urban compound driving cycle covering curved road information. The results indicate that the urban compound driving cycle with the information of driving on curve condition can better embody the real driving characteristics of vehicles in cities than traditional vehicle driving cycle. © 2021, Society of Automotive Engineers of China. All right reserved.
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页码：1519 / 1527
页数：8
相关论文
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