基于有序聚类的发动机温度划分研究  

Research on Engine Temperature Classification Based on Ordered Clustering

作　　者：石锋[1] 补涵 贺玉龙[2] 陈兵硕 崔世超 王庆阳 谯鑫 贺晓娜 SHI Feng;BU Han;HE Yulong;CHEN Bingshuo;CUI Shichao;WANG Qingyang;QIAO Xin;HE Xiaona(China Automotive Engineering Research Institute,Chongqing 401122,China;Beijing University of Technology,Beijing 100124,China;Chang’an University,Xi’an 710064,China)

机构地区：[1]中国汽车工程研究院,重庆401122 [2]北京工业大学,北京100124 [3]长安大学,西安710064

出　　处：《汽车工程学报》2020年第4期297-301,307,共6页Chinese Journal of Automotive Engineering

摘　　要：提出了基于Fisher有序聚类对汽车行驶时的发动机温度进行划分的研究方法,将发动机的出水温度作为聚类指标对发动机工况进行划分,经实例验证发现,通过Fisher有序聚类分析方法划分发动机出水温度的结果能够很好地反映发动机工况的变化,采取对应措施即可起到提升发动机性能,延长发动机寿命,降低发动机油耗的重要作用。A research method based on Fisher’s ordered clustering is proposed to classify the vehicle engine working conditions based on the clustering index of engine water temperature.It is found by experiments that the proposed method can well detect the change in engine working conditions according to the engine water temperature.Considering temperature change and taking corresponding measures during engine operation are important for improving engine performance,extending engine life and reducing engine fuel consumption.

关 键 词：有序聚类 最优分割 发动机出水温度 发动机工况 

分 类 号：U467.5[机械工程—车辆工程]