首页> 外文期刊>Journal of Sensors and Sensor Systems >Optimization of soot deposition by high-temperature prepolarization of a resistive particulate matter sensor
【24h】

Optimization of soot deposition by high-temperature prepolarization of a resistive particulate matter sensor

机译:电阻颗粒物质传感器高温沉积优化烟灰沉积

获取原文
       

摘要

For the purposes of the onboard diagnosis (OBD) of diesel particulate filters (DPFs) in diesel exhaust treatment systems, a particulate matter (PM) sensor is applied downstream from the DPFs to detect small amounts of diesel soot that passed through the filter. The state-of-the-art technology is a sensor based on the resistive measurement principle, i.e., charged soot particles are attracted by electrophoretic forces, deposited on an interdigital electrode (IDE) structure and conductive soot bridges that reduce the overall resistance are formed. This paper reports how the response time of a resistively working particulate matter sensor can be shortened up to 30? % by the optimization of soot deposition that is initiated by a change in the sensor operation strategy. The measurement voltage is applied for prepolarization during the sensor regeneration phase rather than during the cooling phase before the measurement is commonly done. Experiments were performed at diesel engine test benches to examine this context and simulations of the electric field above and below the IDE structure. The data are used to deduct a model, including the solid state chemistry of the sensor's ceramic materials, the effect of impurities on the electric field properties and the interconnection with the soot deposition, which defines the sensor's response.
机译:出于柴油机排气处理系统中柴油颗粒过滤器(DPF)的板载诊断(OBD)的目的,颗粒物质(PM)传感器从DPF的下游施加,以检测通过过滤器的少量柴油烟灰。最先进的技术是基于电阻测量原理的传感器,即,带电烟灰颗粒被沉积在叉指电极(IDE)结构和降低整体电阻的导电烟灰桥上的电泳力引起的。本文报告了电阻工作颗粒物传感器的响应时间如何缩短30?通过通过传感器操作策略的改变启动的烟灰沉积的优化。在传感器再生阶段期间,在传感器再生阶段期间施加测量电压以在常见的测量之前在冷却阶段期间施加预先放电。在柴油发动机试验台上进行实验,以检查IDE结构上方和下方的电场的这种背景和模拟。数据用于扣除模型,包括传感器陶瓷材料的固态化学,杂质对电场性质的影响和与烟灰沉积的互连,其定义了传感器的响应。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号