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Title: Continuous Particulate Filter State of Health Monitoring Using Radio Frequency Sensing

Journal Article · · SAE Technical Paper Series
DOI:https://doi.org/10.4271/2018-01-1260· OSTI ID:1435247

Reliable means for on-board detection of particulate filter failures or malfunctions are needed to meet diagnostics (OBD) requirements. Detecting these failures, which result in tailpipe particulate matter (PM) emissions exceeding the OBD limit, over all operating conditions is challenging. Current approaches employ differential pressure sensors and downstream PM sensors, in combination with particulate filter and engine-out soot models. These conventional monitors typically operate over narrowly-defined time windows and do not provide a direct measure of the filter’s state of health. In contrast, radio frequency (RF) sensors, which transmit a wireless signal through the filter substrate provide a direct means for interrogating the condition of the filter itself. Here, this study investigated the use of RF sensors for the continuous measurement of filter trapping efficiency, which was compared to downstream measurements with an AVL Microsoot Sensor, and a PM sampling probe simulating the geometry and installation configuration of a conventional PM sensor. The study included several particulate filter failure modes, both above and below the OBD threshold. Finally, the results confirmed the use of RF sensors to provide a direct and continuous measure of the particulate filter’s state of health over a range of typical in-use operating conditions, thereby significantly increasing the time window over which filter failures may be detected.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1435247
Journal Information:
SAE Technical Paper Series, Vol. 1, Issue 01; ISSN 0148-7191
Publisher:
SAE InternationalCopyright Statement
Country of Publication:
United States
Language:
English

References (25)

Measurement and Prediction of Filtration Efficiency Evolution of Soot Loaded Diesel Particulate Filters conference April 2012
Wall-Flow Diesel Particulate Filters—Their Pressure Drop and Collection Efficiency
  • Konstandopoulos, Athanasios G.; Johnson, John H.
  • SAE International Congress and Exposition, SAE Technical Paper Series https://doi.org/10.4271/890405
conference February 1989
Detailed Chemical and Physical Characterization of Ash Species in Diesel Exhaust Entering Aftertreatment Systems conference April 2007
Investigation into Different DPF Regeneration Strategies Based on Fuel Economy Using Integrated System Simulation conference April 2009
Ash Effects on Diesel Particulate Filter Pressure Drop Sensitivity to Soot and Implications for Regeneration Frequency and DPF Control journal April 2010
Different Approaches to Soot Estimation as Key Requirement for DPF Applications conference April 2009
Diagnostics for Diesel Particulate Filters conference March 2004
Ash Transport in Diesel Particle Filters conference September 2012
Thermal Durability of Wall-Flow Ceramic Diesel Particulate Filters conference March 2001
Characterizing Diesel Particulate Filter Failure During Commercial Fleet Use due to Pinholes, Melting, Cracking, and Fouling journal April 2016
On-Board Particulate Filter Failure Prevention and Failure Diagnostics Using Radio Frequency Sensing journal February 2017
Particulate Matter Sensor for On Board Diagnostics (OBD) of Diesel Particulate Filters (DPF) journal April 2010
PM Sensor Based On-Board Diagnosis of Particulate Filter Efficiency conference April 2013
Evaluation of Non-Contiguous PM Measurements with a Resistive Particulate Matter Sensor journal March 2017
Application of the Pegasor Particle Sensor for the Measurement of Mass and Particle Number Emissions journal April 2013
Control Strategies for Gasoline Particulate Filters conference March 2017
Loading and Regeneration Analysis of a Diesel Particulate Filter with a Radio Frequency-Based Sensor conference October 2010
Radio Frequency Diesel Particulate Filter Soot and Ash Level Sensors: Enabling Adaptive Controls for Heavy-Duty Diesel Applications journal May 2014
Advanced RF Particulate Filter Sensing and Controls for Efficient Aftertreatment Management and Reduced Fuel Consumption conference April 2015
Development of Radio Frequency Sensing for In-Situ Diesel Particulate Filter State Monitoring and Aftertreatment System Control
  • Sappok, Alexander; Bromberg, Leslie
  • ASME 2013 Internal Combustion Engine Division Fall Technical Conference, Volume 1: Large Bore Engines; Advanced Combustion; Emissions Control Systems; Instrumentation, Controls, and Hybrids https://doi.org/10.1115/ICEF2013-19199
conference February 2014
Ammonia Loading Detection of Zeolite SCR Catalysts using a Radio Frequency based Method journal January 2015
Microwave-Based Catalyst State Diagnosis - State of the Art and Future Perspectives journal January 2015
Real-Time Engine and Aftertreatment System Control Using Fast Response Particulate Filter Sensors conference April 2016
Particulate Filter Soot Load Measurements using Radio Frequency Sensors and Potential for Improved Filter Management conference April 2016
Determining Soot Distribution in the Vehicle Exhaust Downstream of a Faulty Diesel Particulate Filter journal April 2013

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