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Particulate Filter Soot Load Measurements using Radio Frequency Sensors and Potential for Improved Filter Management
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 05, 2016 by SAE International in United States
Annotation ability available
Efficient aftertreatment management requires accurate sensing of both particulate filter soot and ash levels for optimized feedback control. Currently a combination of pressure drop measurements and predictive models are used to indirectly estimate the loading state of the filter. Accurate determination of filter soot loading levels is challenging under certain operating conditions, particularly following partial regeneration events and at low flow rate (idle) conditions. This work applied radio frequency (RF)-based sensors to provide a direct measure of the particulate filter soot levels in situ. Direct measurements of the filter loading state enable advanced feedback controls to optimize the combined engine and aftertreatment system for improved DPF management. This study instrumented several cordierite and aluminum titanate diesel particulate filters with RF sensors. The systems were tested on a range of light- and heavy-duty applications, which included on- and off-road engines. RF sensor accuracy was evaluated relative to a gravimetric standard over a range of soot loading and regeneration conditions, which included partial regenerations and drop-to-idle events. The results were compared to pressure- and model-based estimates of the filter loading state, and indicate considerable potential to enable an adaptive feedback control system capable of directly responding to the filter loading state even under relatively severe operating conditions. Direct feedback control based on in situ measurements of filter soot levels over a broad range of operating conditions may allow for the development of filter management strategies to improve filter durability and reduce engine fuel consumption relative to current pressure-drop and model based approaches.
CitationRagaller, P., Sappok, A., Bromberg, L., Gunasekaran, N. et al., "Particulate Filter Soot Load Measurements using Radio Frequency Sensors and Potential for Improved Filter Management," SAE Technical Paper 2016-01-0943, 2016, https://doi.org/10.4271/2016-01-0943.
Dieselnet, "Emissions Standards, United States: Heavy-Duty On-Road Engines,"
Dieselnet, "Emissions Standards, European Union: Heavy-Duty Truck and Bus Engines,"
- Johnson, T., "Vehicular Emissions in Review," SAE Int. J. Engines 5(2):216-234, 2012, doi:10.4271/2012-01-0368.
- Cheng, S., "Rolling Regeneration Trap for Diesel Particulate Control," SAE Technical Paper 2003-01-3178, 2003, doi:10.4271/2003-01-3178.
- 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.
- Rose, D., Boger, T., "Different Approaches to Soot Estimation as Key Requirement for DPF Applications," SAE 2009-01-1262, 2009.
- Iwasaki, S., Mizutani, T., Miyairi, Y., Yuuki, K. et al., "New Design Concept for Diesel Particulate Filter," SAE Int. J. Engines 4(1):527-536, 2011, doi:10.4271/2011-01-0603.
- Toops, T., Finney, C., Nafziger, E., and Pihl, J., “Neutron Imaging of Advanced Transportation Technologies,” DOE Merit Review 2013.
- Kim, K., Mital, R., Higuchi, T., Chan, S. et al., "An Investigative Study of Sudden Pressure Increase Phenomenon Across the DPF," SAE Technical Paper 2014-01-1516, 2014, doi:10.4271/2014-01-1516.
- Sappok, A., Rodriguez, R., and Wong, V., "Characteristics and Effects of Lubricant Additive Chemistry on Ash Properties Impacting Diesel Particulate Filter Service Life," SAE Int. J. Fuels Lubr. 3(1):705-722, 2010, doi:10.4271/2010-01-1213.
- Dittler, A., "Ash Transport in Diesel Particle Filters," SAE Technical Paper 2012-01-1732, 2012, doi:10.4271/2012-01-1732.
- 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.
- 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.
- Nanjundaswamy, 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, doi:10.4271/2015-01-0996.
- Rauch, D., Kubinski, D., Cavataio, G., Upadhyay, D. et al., "Ammonia Loading Detection of Zeolite SCR Catalysts using a Radio Frequency based Method," SAE Int. J. Engines 8(3):1126-1135, 2015, doi:10.4271/2015-01-0986.
- Moos, R., "Microwave-Based Catalyst State Diagnosis - State of the Art and Future Perspectives," SAE Int. J. Engines 8(3):1240-1245, 2015, doi:10.4271/2015-01-1042.