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In-line, Real-time Particulate Matter Sensors for OBD and Exhaust After-treatment System Control Applications.

机译:在线,实时颗粒物传感器,用于OBD和排气后处理系统控制应用。

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摘要

The ability to quantify particle mass and number concentrations in the exhaust stream of combustion engines during in-use operation is of critical importance for continuously monitoring and diagnosing the particulate matter removal efficiency of modern exhaust gas after-treatment systems. Extensive literature survey suggested a sensor operating on the diffusion-charging principle being optimally suited for particle measurements due to their proportional response towards particle surface area. This study was designed to determine and assess the possibility of quantifying particle emissions during on-road measurements using a prototype diffusion-charging type sensor. Such a sensor would not only allow for continuous monitoring capabilities of the exhaust particulate filters integrity, but moreover provide for a simplified tool to assess real-world particle number emissions to verify in-use emissions compliance of engines.;Evaluation of the sensor followed a three tier process, starting with fundamental sensor response analysis using a particle generator in order to develop and parameterize the underlying physical phenomena of the measurement principle. Next, examine the sensor in engine dynamometer experiments under controlled environment, and sampling from test vehicles during chassis dynamometer testing aimed at real-world like test conditions. Finally, the sensor was installed on vehicles while operated on the road over diverse driving conditions. This allowed for comparison to laboratory-grade measurement systems and the standard regulatory gravimetric particulate matter measurement method. The diffusion-charging type sensor employed in this study was observed to exhibit a response proportional to particle size Dp 1.09 and a measurement variability below 2% over consecutive tests. The sensor's sensitivity allowed for distinguishing between Diesel particulate filter efficiencies due to soot cake layer build-up on the substrate walls. In summary, the study concluded that the diffusion-charging type sensor provided a viable method to quantify in-use particle number emissions.
机译:在使用过程中量化内燃机排气流中颗粒质量和数量浓度的能力对于连续监测和诊断现代排气后处理系统的颗粒物去除效率至关重要。大量文献调查表明,基于扩散充电原理的传感器由于其对颗粒表面积的比例响应,因此最适合颗粒测量。这项研究旨在确定和评估使用原型扩散充电型传感器在道路测量过程中量化颗粒物排放的可能性。这样的传感器不仅可以连续监控排气微粒过滤器的完整性,而且还提供了一种简化的工具来评估现实世界中的颗粒物排放,以验证发动机在使用中的排放合规性。三层过程,从使用粒子发生器进行基本传感器响应分析开始,以开发和参数化测量原理的基本物理现象。接下来,在受控环境下的发动机测功机实验中检查传感器,并在针对真实世界(如测试条件)的底盘测功机测试期间从测试车辆中取样。最终,在各种驾驶条件下在道路上行驶时,将传感器安装在车辆上。这样就可以与实验室级的测量系统和标准的管制重量颗粒物测量方法进行比较。观察到在这项研究中使用的扩散充电型传感器在连续测试中表现出与粒径Dp 1.09成比例的响应,并且测量变异性低于2%。传感器的灵敏度可区分柴油颗粒过滤器的效率,这是由于在基体壁上堆积了烟灰饼层所致。总而言之,研究得出的结论是,扩散充电式传感器提供了一种量化使用中颗粒物排放量的可行方法。

著录项

  • 作者

    Besch, Marc Cyrill.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Mechanical engineering.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 322 p.
  • 总页数 322
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:40:42

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