The conventional motor vehicle exhaust particulate matter emission detection method uses NDIR infrared gas sensor to collect particulate matter emission information,which is easily affected by dynamic changes in exhaust gas concentration,resulting in a high deviation between the detected exhaust particulate matter emis-sion concentration and the actual emission concentration,so it is necessary to design a new motor vehicle exhaust particulate matter emission detection method based on particle size distribution.That is,the mass concentration of each particle is calculated,the emission characteristics of exhaust particulate matter are extracted based on the particle size distribution,and then the Lug Down exhaust particulate emission detection model is constructed ac-cording to the classical PID control algorithm,so as to complete the exhaust particulate emission detection.The experimental results show that the emission concentration of the tail particulate matter detected by the designed exhaust particulate matter emission particle size distribution detection method is more suitable for the actual e-mission concentration,which proves that the designed detection method has a good detection effect and has cer-tain application value,which makes a certain contribution to improving atmospheric air quality.
维普
万方数据