Experimental Study and Model Predictive Control of a Lean-Burn Gasoline Engine Coupled With a Passive Selective Catalytic Reduction System

Lin, Qinghua; Chen, Pingen; Prikhodko, Vitaly Y.

doi:10.1115/1.4043269

Title: Experimental Study and Model Predictive Control of a Lean-Burn Gasoline Engine Coupled With a Passive Selective Catalytic Reduction System

Journal Article · Thu May 02 00:00:00 EDT 2019 · Journal of Dynamic Systems, Measurement, and Control

DOI:https://doi.org/10.1115/1.4043269· OSTI ID:1550728

Lin, Qinghua ^[1]; Chen, Pingen ^[1];

^[2]

Tennessee Technological Univ., Cookeville, TN (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Lean-burn gasoline engines have reflected 10–20% engine efficiency gain over stoichiometric engines and are widely considered as a promising technology for meeting the 54.5 miles-per-gallon (mpg) corporate average fuel economy standard by 2025. Nonetheless, nitrogen oxides (NO_x) emissions control for lean-burn gasoline for meeting the stringent Environmental Protection Agency tier 3 emission standards has been one of the main challenges toward the commercialization of highly efficient lean-burn gasoline engines in the United States. Passive selective catalytic reduction (SCR) systems, which consist of a three-way catalyst (TWC) and SCR, have demonstrated great potentials of effectively reducing NO_x emissions for lean gasoline engines at low cost. Yet, passive SCR operation may cause significant fuel penalty since rich engine combustion is required for ammonia generation. The purpose of this study is to develop a model-predictive control (MPC) scheme for a lean-burn gasoline engine coupled with a passive SCR system to minimize the total equivalent fuel penalty associated with passive SCR operation while satisfying stringent NO_x and ammonia (NH₃) emissions requirements. Simulation results demonstrate that the MPC approach can reduce the fuel penalty by 43.9% in a simulated US06 cycle and 28.0% in a simulated urban dynamometer driving schedule (UDDS) cycle, respectively, compared to the baseline control, while achieving over 97% DeNO_x efficiency and less than 15 ppm tailpipe ammonia slip. The proposed MPC controller can potentially enable highly efficient lean-burn gasoline engines while meeting the stringent Environmental Protection Agency tier 3 emission standards.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1550728

Journal Information:: Journal of Dynamic Systems, Measurement, and Control, Vol. 141, Issue 9; ISSN 0022-0434

Publisher:: ASMECopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 2 works

Citation information provided by
Web of Science

References (23)

Comparative Study and Accommodation of Biodiesel in Diesel-Electric Hybrid Vehicles Coupled with Aftertreatment Systems: Biodiesel in Diesel-Electric Hybrid Vehicles Zhao, Junfeng; Chen, Pingen; Ibrahim, Umar Asian Journal of Control, Vol. 18, Issue 1 https://doi.org/10.1002/asjc.1137	journal	March 2015
Ammonia formation from nitric oxide over Pd-based catalysts in multicomponent feed gas compositions Adams, Emma Catherine; Skoglundh, Magnus; Carlsson, Per-Anders Catalysis Communications, Vol. 95 https://doi.org/10.1016/j.catcom.2017.03.001	journal	May 2017
Ammonia Generation and Utilization in a Passive SCR (TWC+SCR) System on Lean Gasoline Engine Prikhodko, Vitaly Y.; Parks, James E.; Pihl, Josh A. SAE International Journal of Engines, Vol. 9, Issue 2, p. 1289-1295 https://doi.org/10.4271/2016-01-0934	journal	April 2016
Development and experimental studies of a control-oriented SCR model for a two-catalyst urea-SCR system Hsieh, Ming-Feng; Wang, Junmin Control Engineering Practice, Vol. 19, Issue 4 https://doi.org/10.1016/j.conengprac.2011.01.004	journal	April 2011
Estimation and adaptive nonlinear model predictive control of selective catalytic reduction systems in automotive applications Chen, Pingen; Wang, Junmin Journal of Process Control, Vol. 40 https://doi.org/10.1016/j.jprocont.2016.01.005	journal	April 2016
Ammonia formation over supported platinum and palladium catalysts Adams, Emma Catherine; Skoglundh, Magnus; Folic, Milica Applied Catalysis B: Environmental, Vol. 165 https://doi.org/10.1016/j.apcatb.2014.09.064	journal	April 2015
Vehicular Emissions in Review Johnson, Timothy SAE International Journal of Engines, Vol. 9, Issue 2 https://doi.org/10.4271/2016-01-0919	journal	April 2016
A survey of industrial model predictive control technology Qin, S. Joe; Badgwell, Thomas A. Control Engineering Practice, Vol. 11, Issue 7, p. 733-764 https://doi.org/10.1016/S0967-0661(02)00186-7	journal	July 2003
Automotive spark-ignited direct-injection gasoline engines Zhao, F.; Lai, M. -C; Harrington, D. L. Progress in Energy and Combustion Science, Vol. 25, Issue 5 https://doi.org/10.1016/S0360-1285(99)00004-0	journal	October 1999
Nonlinear model predictive control: current status and future directions Henson, Michael A. Computers & Chemical Engineering, Vol. 23, Issue 2 https://doi.org/10.1016/S0098-1354(98)00260-9	journal	December 1998
Passive SCR: The Effect of H $$_2$$ 2 to NO Ratio on the Formation of NH $$_3$$ 3 Over Alumina Supported Platinum and Palladium Catalysts Adams, Emma Catherine; Skoglundh, Magnus; Gabrielsson, Pär Topics in Catalysis, Vol. 59, Issue 10-12 https://doi.org/10.1007/s11244-016-0576-0	journal	May 2016
Passive Ammonia SCR System for Lean-burn SIDI Engines Li, Wei; Perry, Kevin L.; Narayanaswamy, Kushal SAE International Journal of Fuels and Lubricants, Vol. 3, Issue 1 https://doi.org/10.4271/2010-01-0366	journal	April 2010
Passive SCR for lean gasoline NOX control: Engine-based strategies to minimize fuel penalty associated with catalytic NH3 generation Prikhodko, Vitaly Y.; Parks, James E.; Pihl, Josh A. Catalysis Today, Vol. 267 https://doi.org/10.1016/j.cattod.2016.01.026	journal	June 2016
Model predictive control: past, present and future Morari, Manfred; H. Lee, Jay Computers & Chemical Engineering, Vol. 23, Issue 4-5 https://doi.org/10.1016/S0098-1354(98)00301-9	journal	May 1999
Optimal Control of Parallel Hybrid Electric Vehicles Sciarretta, A.; Back, M.; Guzzella, L. IEEE Transactions on Control Systems Technology, Vol. 12, Issue 3 https://doi.org/10.1109/TCST.2004.824312	journal	May 2004
Passive-ammonia selective catalytic reduction (SCR): Understanding NH3 formation over close-coupled three way catalysts (TWC) DiGiulio, Christopher D.; Pihl, Josh A.; Ii, James E. Parks Catalysis Today, Vol. 231 https://doi.org/10.1016/j.cattod.2014.01.027	journal	August 2014
Hybrid Electric Vehicle Model Predictive Control Torque-Split Strategy Incorporating Engine Transient Characteristics Yan, Fengjun; Wang, Junmin; Huang, Kaisheng IEEE Transactions on Vehicular Technology, Vol. 61, Issue 6 https://doi.org/10.1109/TVT.2012.2197767	journal	July 2012
Review of Vehicular Emissions Trends Johnson, Timothy V. SAE International Journal of Engines, Vol. 8, Issue 3 https://doi.org/10.4271/2015-01-0993	journal	January 2015
Passive TWC+SCR Systems for Satisfying Tier 2, Bin 2 Emission Standards on Lean-Burn Gasoline Engines Theis, Joseph R.; Kim, Jeong; Cavataio, Giovanni SAE International Journal of Fuels and Lubricants, Vol. 8, Issue 2 https://doi.org/10.4271/2015-01-1004	journal	April 2015
Three-Way Catalyst Design for Urealess Passive Ammonia SCR: Lean-Burn SIDI Aftertreatment System Kim, Chang Hwan; Perry, Kevin; Viola, Michael SAE 2011 World Congress & Exhibition https://doi.org/10.4271/2011-01-0306	conference	April 2011
Water–gas-shift assisted ammonia formation over Pd/Ce/alumina Adams, Emma Catherine; Skoglundh, Magnus; Elmøe, Tobias Catalysis Today, Vol. 307 https://doi.org/10.1016/j.cattod.2017.05.035	journal	June 2018
Model Predictive Control of a Lean-Burn Gasoline Engine Coupled With a Passive Selective Catalytic Reduction System Lin, Qinghua; Chen, Pingen; Prikhodko, Vitaly Y. ASME 2017 Dynamic Systems and Control Conference, Volume 3: Vibration in Mechanical Systems; Modeling and Validation; Dynamic Systems and Control Education; Vibrations and Control of Systems; Modeling and Estimation for Vehicle Safety and Integrity; Modeling and Control of IC Engines and Aftertreatment Systems; Unmanned Aerial Vehicles (UAVs) and Their Applications; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Control of Smart Buildings and Microgrids; Energy Systems https://doi.org/10.1115/DSCC2017-5348	conference	November 2017
European Lean Gasoline Direct Injection Vehicle Benchmark Chambon, Paul; Huff, Shean; Norman, Kevin SAE 2011 World Congress & Exhibition, SAE Technical Paper Series https://doi.org/10.4271/2011-01-1218	conference	April 2011

Similar Records

Model predictive control of a lean-burn gasoline engine coupled with a passive selective catalytic reduction system

Conference · Sun Oct 01 00:00:00 EDT 2017 · OSTI ID:1550728

Chen, Pingen; Lin, Qinghua; Prikhodko, Vitaly

Ammonia Generation and Utilization in a Passive SCR (TWC+SCR) System on Lean Gasoline Engine

Journal Article · Tue Apr 05 00:00:00 EDT 2016 · SAE International Journal of Engines · OSTI ID:1550728

Prikhodko, Vitaly Y.; Pihl, Josh A.; Toops, Todd J.

Passive SCR Performance Under Pseudo-Transient Cycle: Challenges and Opportunities for Meeting Tier 3 Emissions

Journal Article · Wed Jul 17 00:00:00 EDT 2019 · Emission Control Science & Technology · OSTI ID:1550728

Prikhodko, Vitaly Y.; Pihl, Josh A.; Toops, Todd J.; +1 more

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
lean-burn gasoline engine
passive selective catalytic reduction system
model predictive control
three-way catalyst

Title: Experimental Study and Model Predictive Control of a Lean-Burn Gasoline Engine Coupled With a Passive Selective Catalytic Reduction System

Citation Formats

References (23)

Similar Records

Related Subjects