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Advanced RF Particulate Filter Sensing and Controls for Efficient Aftertreatment Management and Reduced Fuel Consumption
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 14, 2015 by SAE International in United States
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Although designed for the purpose of reducing engine-out Particulate Matter (PM) emissions to meet or exceed mandated emissions regulations, the particulate filter also incurs a fuel economy penalty. This fuel penalty is due to the increased exhaust flow restriction attributed to the PM accumulated in the filter, in addition to fuel consumed for active regeneration. Unlike the soot which may be oxidized through the regeneration process, incombustible material or ash continues to build-up in the filter following each regeneration event. Currently pressure- and model-based controls are used to provide an indirect estimate of the loading state of the particulate filter, in order to manage the filter operation and determine when to regenerate the filter.
The challenges associated with pressure- and model-based particulate filter control over real-world operating conditions are well-known. This study investigated the use of a radio-frequency sensor to provide in situ measurements of the loading state of the filter for real-time control of the regeneration process. A model year 2013, heavy-duty diesel engine and aftertreatment system was instrumented with the RF sensor. The first phase of the study evaluated the accuracy of the RF-measured particulate filter soot levels over a range of loading and regeneration conditions. The second phase of the work utilized the RF sensor output to control the start and end of regeneration and compared the regeneration duration and fuel consumption using the RF-based controls with the stock pressure and model-based aftertreatment control system. Results indicate the potential to optimize the regeneration process through RF-enabled real-time controls, providing a reduction in regeneration duration of 15% to 30% relative to current pressure- and model-based systems on a heavy-duty 2013 on-highway engine and aftertreatment platform.
CitationNanjundaswamy, H., Nagaraju, V., Wu, Y., Koehler, E. et al., "Advanced RF Particulate Filter Sensing and Controls for Efficient Aftertreatment Management and Reduced Fuel Consumption," SAE Technical Paper 2015-01-0996, 2015, https://doi.org/10.4271/2015-01-0996.
- Mogaka, Z., Wong, V., and Shahed, S., “Performance and Regeneration Characteristics of a Cellular Ceramic Diesel Particulate Trap,” SAE Technical Paper 820272, 1982, doi:10.4271/820272.
- Salvat, O., Marez, P., and Belot, G., “Passenger Car Serial Application of a Particulate Filter System on a Common Rail Direct Injection Diesel Engine,” SAE Technical Paper 2000-01-0473, 2000, doi:10.4271/2000-01-0473.
- Singh, N., Rutland, C., Foster, D., Narayanaswamy, K. et al., “Investigation into Different DPF Regeneration Strategies Based on Fuel Economy Using Integrated System Simulation,” SAE Technical Paper 2009-01-1275, 2009, doi:10.4271/2009-01-1275.
- Sappok, A. and Wong, V., “Ash Effects on Diesel Particulate Filter Pressure Drop Sensitivity to Soot and Implications for Regeneration Frequency and DPF Control,” SAE Int. J. Fuels Lubr. 3(1):380-396, 2010, doi:10.4271/2010-01-0811.
- Sappok, A., Kamp, C., and Wong, V., “Sensitivity Analysis of Ash Packing and Distribution in Diesel Particulate Filters to Transient Changes in Exhaust Conditions,” SAE Int. J. Fuels Lubr. 5(2):733-750, 2012, doi:10.4271/2012-01-1093.
- Merkel, G., Cutler, W., and Warren, C., “Thermal Durability of Wall-Flow Ceramic Diesel Particulate Filters,” SAE Technical Paper 2001-01-0190, 2001, doi:10.4271/2001-01-0190.
- U.S. Department of Energy, “Freedom Car and Vehicle Technologies Program, Multi-Year Program Plan 2006-2011,” Office of Energy Efficiency and Renewable Energy, 2006.
- Manufacturers of Emission Controls Association (MECA), “Diesel Particulate Filter Maintenance: Current Practices and Experience,” Washington D.C., 2005.
- Ohyama, N., Nakanishi, T., Daido, S., “New Concept Catalyzed DPF for Estimating Soot Loadings from Pressure Drop,” SAE 2008-01-0620, 2008.
- Ohyama, N., Nakanishi, T., and Daido, S., “New Concept Catalyzed DPF for Estimating Soot Loadings from Pressure Drop,” SAE Technical Paper 2008-01-0620, 2008, doi:10.4271/2008-01-0620.
- Rose, D. and Boger, T., “Different Approaches to Soot Estimation as Key Requirement for DPF Applications,” SAE Technical Paper 2009-01-1262, 2009, doi:10.4271/2009-01-1262.
- Toops, T., Finney, C., Nafziger, E., and Pihl, J., “Neutron Imaging of Advanced Transportation Technologies,” DOE Annual Merit Review, Washington D.C., 2013.
- Sappok, A. and Bromberg, L., “Radio Frequency Diesel Particulate Filter Soot and Ash Level Sensors: Enabling Adaptive Controls for Heavy-Duty Diesel Applications,” SAE Int. J. Commer. Veh. 7(2):468-477, 2014, doi:10.4271/2014-01-2349.
- Ochs, T., Schittenhelm, H., Genssle, A., and Kamp, B., “Particulate Matter Sensor for On Board Diagnostics (OBD) of Diesel Particulate Filters (DPF),” SAE Int. J. Fuels Lubr. 3(1):61-69, 2010, doi:10.4271/2010-01-0307.
- Sappok, A., Bromberg, L., “Development of Radio Frequency Sensing for In-Situ Diesel Particulate Filter State Monitoring and Aftertreatment System Control,” ASME ICEF2013-19199, 2013.
- Sappok, A., Bromberg, L., Parks, J., and Prikhodko, V., “Loading and Regeneration Analysis of a Diesel Particulate Filter with a Radio Frequency-Based Sensor,” SAE Technical Paper 2010-01-2126, 2010, doi:10.4271/2010-01-2126.
- Fischerauer, G., Foerster, M, and Moos, R., “Sensing the Soot Load in Automotive Diesel Particulate Filters by Microwave Methods,” 2010, Meas. Sci. Technol. 21 035108.
- Walton, F., “Antenna System for Soot Detecting,” United States Patent 5,497,099, 1996.