A Research on Driving Cycle for Electric Cars in Beijing

被引：0
|
作者：
Zhang, Fei [1 ]
Guo, Fen [2 ]
Huang, Hong [1 ]
机构：
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Automot, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
Driving Cycle; Electric Car; K-means Clustering; PATTERNS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the driving cycle for electric cars in Beijing is investigated. Firstly a reasonable experimental scheme is made, in which several electric cars are selected and a new type of data collection transmission and management system based on GPRS communication is used. Then the obtained data is preprocessed and divided into microtrips, and many characteristic parameters are selected. Finally, a representative driving cycle of electric cars for the typical roads in Beijing is worked out by principal component analysis and k-means clustering method. And compared with the test data, the results show that the fitted driving cycle can represent the overall traffic condition of electric cars in Beijing.
引用
收藏
页码：4450 / 4455
页数：6
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