Real-Time Engine and Aftertreatment System Control Using Fast Response Particulate Filter Sensors

Alexander Sappok, Paul Ragaller, Leslie Bromberg, Vitaly Prikhodko, John Storey, James Parks

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations

Abstract

Radio frequency (RF)-based sensors provide a direct measure of the particulate filter loading state. In contrast to particulate matter (PM) sensors, which monitor the concentration of PM in the exhaust gas stream for on-board diagnostics purposes, RF sensors have historically been applied to monitor and control the particulate filter regeneration process. This work developed an RF-based particulate filter control system utilizing both conventional and fast response RF sensors, and evaluated the feasibility of applying fast-response RF sensors to provide a real-time measurement of engine-out PM emissions. Testing with a light-duty diesel engine equipped with fast response RF sensors investigated the potential to utilize the particulate filter itself as an engine-out soot sensor. Measurements of the instantaneous change in the filter PM loading state using the fast response RF sensors were compared to measurements of engine-out PM emissions using conventional test cell instrumentation including the AVL micro soot sensor and tapered element oscillating micro-balance (TEOM). The results showed a high degree of correlation between the fast response RF sensor and test cell instruments. From a practical standpoint, the results indicate considerable potential for feedback control and engine diagnostics based on real-time measurements of engine-out PM emissions from a particulate filter equipped with a fast response RF sensor.

Original languageEnglish
JournalSAE Technical Papers
Volume2016-April
Issue numberApril
DOIs
StatePublished - Apr 5 2016
EventSAE 2016 World Congress and Exhibition - Detroit, United States
Duration: Apr 12 2016Apr 14 2016

Funding

This material is based upon work supported by the U.S. Department of Energy DE-EE0005653. The authors would like to thank Roland Gravel, Ken Howden, and Gurpreet Singh from the DOE and Ralph Nine from NETL for their support and engaging discussions.

FundersFunder number
U.S. Department of EnergyDE-EE0005653
National Energy Technology Laboratory

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