基于python的汽车运行状态参数对油耗影响的聚类

随着汽车保有量持续不断上升,石化燃料消耗量也随之不断增加,汽车节能问题引人关注。为找出车辆运行工况和发动机工作状态参数对油耗的影响。文章通过OBD检测仪获取车辆运行状态参数,即怠速比例(I R)、匀速比例(C R)、加速比例(A R)、减速比例(R R)、平均速度(v A)、平均转速(N A)、热车时间(T H)、平均节气门开度变化率(P A)、平均节气门开度(T A)和平均油耗(F A)等行程片段的数据,利用Python编程语言平台,使用K-means算法对其进行聚类分析,使用轮廓系数法和手肘法确定聚类数,根据聚类结果可分析出车辆在市区内运行时,在车辆运行工况一组聚类中,处于怠速比例高的簇中,匀速比例较少,频繁地加减速行驶以致于一部分能量以加速阻力或制动时的热能形式消失,导致油耗较高。在发动机工作状态参数一组聚类中,油耗高的簇是由于其平均车速较低,发动机处于低负荷运行状态所致。

Cluster of the influence of vehicle running state parameters on fuel consumption based on python

With the continuous increase of car ownership,the consumption of fossil fuel is also increasing to find out the influence of vehicle operating conditions and engine operating parameters on fuel consumption.Based on OBD detector for the vehicle running state parameter’s Segments of driving data such as idle speed ratio(I R),constant speed ratio(C R),speed ratio(A R),reduction ratio(R R),mean velocity(v A),the average speed(N A),Hot time(T H),the average throttle opening rate(P A)and the average throttle opening(T A)and the average fuel consumption(F A),and with the python programming language platform,by use of the K-means algorithm for clustering analysis,the outline coefficient method and the elbow method are used to determine the clustering number,According to the clustering results,when the vehicle is running in the urban area,In a cluster of vehicle operating conditions,it can be seen that in the cluster with a high proportion of idle speed,the proportion of constant speed is less.So that a part of the energy is lost in the form of accelerating resistance or braking heat energy,and the fuel consumption is higher.In the cluster of engine operating state parameters,it can be seen that the cluster with high fuel consumption is due to its low average speed and low load running state of the engine.