中文摘要：

利用因子分析法提取了与汽车燃油消耗相关的2个因子（平均速度和速度标准偏差）,根据这两个因子,通过两步聚类分析,把一系列汽车行驶工况分为3类,即平均速度为20km/h以下的行驶工况、20～40km/h的行驶工况和40km/h以上的行驶工况。每类行驶工况都可看作一个随时间变化的马尔科夫过程,根据新的分类准则把每类行驶工况划分为加速片段、减速片段、怠速片段和匀速片段,计算片段间的转移概率。在此基础上,提出了片段间的状态转移概率与发动机比功率相结合的候选工况选择方法,建立了评价代表性行驶工况的12个特征参数的评价准则。以合肥市典型道路为例分别构建了不同类别的行驶工况。结果表明,根据燃油消耗构建的行驶工况与试验数据具有高的相似性,符合车辆实际行驶工况。

英文摘要：

Two factors（the mean speed and speed deviation）with the fuels of automobiles were extracted by the factor analysis,according to two factors a series of driving cycles were divided into 3 different clusters by the two-step clustering method.The first cluster represented driving patterns of moving vehicles under 20 km/h.The second cluster consisted mostly of data with average speeds between 20 to 40km/h.And the last cluster included data with average speeds greater than 40km/h.Every driving cycle was taken as a stochastic Markov process with time and the driving data for each cluster were divided into acceleration segments,deceleration segments,idling segments and cruise segments according to a new classification scheme and the transition probabilities of segments were calculated.According to this basis the selection method of candidate cycles was considered by combination the transition probabilities of segments and vehicle specific power of the engine,the evaluation criteria of 12 characteristic parameters of evaluating the representative driving cycle were established.The driving cycles for different clusters were constructed with an example of typical roads in Hefei.The results show that the driving cycles with emissions have high similarity with the experiments and accords with driving cycles of real roads.