Ammonia Cross-Sensitivity Eliminatin Method of NOx Sensor for UREA-SCR (Selective Catalytic Reduction) System

Kyongtae Kim, Tae Hoon Lee, Dong Hyun Kang, Hong Beom Kwon, Sang Myun Lee, Seong Jae Yoo, Ui Seon Hong, Yong Jun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper reports an ammonia cross-sensitivity elimination filter for SCR systems. Since NOX sensors are cross sensitive to NH3, a reading of NOX sensor could not be accurate. As the reading is inaccurate, the closed-loop SCR systems is unpredictable. The proposed filter can be applied to any kinds of NOX sensors and effectively remove the cross-sensitivity. Single gas and mixed exhaust gas tests are conducted. The results show the evident removal of NH3 in both single gas and mixed gases experiments. The experiments show the filtering method can considerably improve the accuracy of NOX concentration measurement in Urea-SCR systems.

Original languageEnglish
Title of host publication2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1246-1249
Number of pages4
ISBN (Electronic)9781728120072
DOIs
Publication statusPublished - 2019 Jun
Event20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII - Berlin, Germany
Duration: 2019 Jun 232019 Jun 27

Publication series

Name2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII

Conference

Conference20th International Conference on Solid-State Sensors, Actuators and Microsystems and Eurosensors XXXIII, TRANSDUCERS 2019 and EUROSENSORS XXXIII
Country/TerritoryGermany
CityBerlin
Period19/6/2319/6/27

All Science Journal Classification (ASJC) codes

  • Process Chemistry and Technology
  • Spectroscopy
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Electronic, Optical and Magnetic Materials
  • Control and Optimization
  • Instrumentation

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