中文摘要：

对不同行驶工况下混合动力电动汽车的匹配和控制策略优化结果进行了分析,发现工况的平均功率和平均功率的标准差对混合动力汽车的混合度有很大的影响.在同一混合度下,针对不同的工况采用不同的可调参数可得到不同的燃油经济性和最终稳定的电池荷电状态值.提出了“工况块”的概念,用工况的平均行驶车速和行驶距离作为特征参数,将统计的理论工况进行分类,通过模糊控制器,对实际工况进行模糊分析,将其划为对应的某一类.为更准确地反映行驶工况,还提出以时间、距离、最大车速等10个参数作为工况的相关特性参数,用聚类分析的方法对车辆行驶工况的类别进行了更细致的分析和辨识.在上述工况识别的基础上,提出了一种能根据实时工况的变化作出自适应调整的混合动力汽车控制策略.

英文摘要：

In this paper, the optimization results of matching and controlling strategies for hybrid electric vehicle （HEV） in various running cycles are analyzed, It is found that the average power demand and its normal difference in a running cycle have a great impact on the HEV matching optimization, and that different fuel consumptions and constant charge state of the battery power unit can be obtained in the same running cycle with different controlling parameters. A novel concept of ＂Cycle Block＂ is then put forward, According to the new concept, the average vehicle velocity and average running distance are used as characteristic parameters. Based on the classification of representative cycles, the real-time running cycles are analyzed by fuzzy recognition via a fuzzy controller and are taken as one or several known species. Moreover, a clustering analysis method is presented to correctly reflect the real-time running cycles and to further analyze and recognize the relevant species of running cycles, with ten parameters including the running time and distance and the maximum velocity as the characteristic parameters. Thus, a meticulously self-adaptive controlling strategy of HEV based on the real-time running cycle recognition is finally proposed.