Sensitivity Analysis on Energy Consumption of PHEV Based on Real Vehicle Road Data

被引：0
|
作者：
Xia H. [1 ]
Wang B. [1 ]
Wu G. [1 ]
Li T. [1 ]
Tong R. [2 ]
机构：
[1] Shanghai Jiao Tong University, State Key Laboratory of Ocean Engineering, Shanghai
[2] SAIC Motor Corporation Limited, Shanghai
来源：
Qiche Gongcheng/Automotive Engineering | 2019年 / 41卷 / 09期
关键词：
Cluster algorithm; Plug-in hybrid electric vehicle; Principle components analysis; Sensitivity analysis;
D O I：
10.19562/j.chinasae.qcgc.2019.09.002
中图分类号：
学科分类号：
摘要：
In order to evaluate the energy consumption level of plug-in hybrid vehicles (PHEV) in actual driving process and study the essential factors affecting the energy consumption level of PHEV, this paper explores the relationship between the vehicle driving status and driving behavior and the overall energy consumption of PHEV based on the driving record data of 180 drivers. Firstly, principal component analysis (PCA) method is employed to decouple the characteristics of parameter matrix of driving conditions, and the first 5 PCs contributing accumulatively 84% to the overall information are extracted. The principle components are also defined according to the numerical distribution of the influence coefficient matrix. Then, based on kinematics fragments, the K-means algorithm is used to constrain the principal components in turn to form target real vehicle road conditions, which is put into vehicle power flow model to calculate the comprehensive energy consumption level. Finally, Pearson correlation coefficient and covariance value between each principle component and comprehensive energy consumption level are calculated and clustering and sensitivity definitions are given. The results show that the three significant factors representing human-vehicle-road extracted in this paper have a strong sensitivity relationship with energy consumption. The conclusions of this paper have important guiding significance for the selection of PHEV design and control parameters. © 2019, Society of Automotive Engineers of China. All right reserved.
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页码：990 / 997
页数：7
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