基于符号时间序列方法的汽油机瞬态排放特征分析

The Characteristics Analysis to Transient State Exhaust of Spark-ignited Engine Based on the Measure of Symbolic Time Series Analysis

冷启动、加速-滑行组合、节气门加速开启-关闭等瞬态工况更能反映汽油汽车(汽油机)的实际运行状态,有必要研究工程化的瞬态工况排放检测与评价方案。本项目探求将符号时间序列分析STSA应用于汽油机瞬态工况排放分析与特征提取的方法与途径,主要包括:建立能够方便实现瞬态工况的措施,寻找利用五组分排放分析仪进行间接检测的理论和手段,基于符号时间序列分析的Shannon熵评价不同瞬态工况或不同车(机)型的排放。

It necessary to research the project of detection and estimation for transient state exhaust since the transient state condition,which are vehicle cold start,vehicle acceleration-coasting and carburetor accelerating turning on-off,could be better to show the true running situation of gasoline vehicle and spark-ignited engine.In this item,the technique and approach for exhaust analysis and characteristic extraction of transient starte of spark-ignited engine based on the symbolic time series analysis(STSA)are searched.The steps to expediently realize the transient state condition of gasoline vehicle and spark-ignited engine are established.The theory and measures for indirectly detecting by five components exhaust analyzer are sought.The estimation parameters,which are used to estimate the exhaust in different condition of transient state of in different type of gasoline vehicle(spark-ignited engine),are offered based on the Shannon entropy of STSA.