吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 383-389.doi: 10.13229/j.cnki.jdxbgxb201602008

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Driving cycle construction using K-means clustering method

QIN Da-tong, ZHAN Sen, QI Zheng-gang, CHEN Shu-jiang   

  1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044,China
  • Received:2014-07-10 Online:2016-02-20 Published:2016-02-20

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Abstract: A construction procedure of driving cycle is proposed using K-means clustering method. Experimental data of a city driving cycle is obtained by driving test vehicle, and is divided into "micro-trip" after preprocessing. The micro-trips are then clustered into groups in "average speed","distance" and "cruise time percentage" using the K-means clustering method. The micro-trips are pick out on the principle of the closer distance between the micro-trip's driving feature and the center of cluster, which is more representative of the cluster. Then the final city driving cycle is developed. The data of fuel consumption and pollutant emission are collected using revolving drum test and exhaust-gas analysis. The characteristic parameter, fuel consumption and pollutant emission among different typical driving cycles are compared. Results show that the driving cycle constructed by this new approach can better reflect the city actual traffic conditions and it has high practical value.

Key words: vehicle engineering, driving cycle, K-means clustering, fuel consumption, exhaust emissions

CLC Number: 

  • U491
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