首页|基于粒径分布的机动车尾气颗粒物排放检测方法

基于粒径分布的机动车尾气颗粒物排放检测方法

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常规的机动车尾气颗粒物排放检测方法使用NDIR红外气体传感器采集颗粒物排放信息,易受动态变化尾气浓度影响,导致检测的尾气颗粒物排放浓度与实际排放浓度偏差较高,因此需要基于粒径分布设计一种全新的机动车尾气颗粒物排放检测方法.即计算各微粒的质量浓度,基于粒径分布提取了尾气颗粒物排放特征,再根据经典PID控制算法,构建了Lug Down尾气颗粒物排放检测模型,从而完成了尾气颗粒物排放检测.实验结果表明,设计的尾气颗粒物排放粒径分布检测方法检测的尾气颗粒物排放浓度与实际排放浓度较拟合,证明设计的检测方法的检测效果较好,有一定的应用价值,为提高大气空气质量作出了一定的贡献.
Detection Method of Motor Vehicle Exhaust Particulate Matter Emission Based on Particle Size Distribution
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.

Particle size distributionMotor vehicleExhaustParticulate matterEmissionDetect

吴善岳、陈春飞、陈明惠、董荣对

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玉环通达机动车辆综合性能检测站 台州 317605

乐清市宁康西路机动车检测有限公司 温州 325600

杭州宜捷机动车检测有限公司 杭州 311103

苍南县圆通机动车检测有限公司,温州 325800

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粒径分布 机动车 尾气 颗粒物 排放 检测

2024

内燃机与配件
石家庄金刚内燃机零部件集团有限公司

内燃机与配件

影响因子:0.095
ISSN:1674-957X
年,卷(期):2024.(6)
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