Robust Indicated Mean Effective Pressure and Combustion Lambda Feedback Control for Lean NOx Trap Regeneration in a 2.2 L Common Rail Direct Injection Diesel Engine

To meet stringent Euro-6 emission regulations, a lean NOx trap (LNT) catalyst should be considered to effectively abate NOx emissions. This LNT catalyst should be periodically regenerated without deteriorating driving quality and also satisfy emission constraints, such as CO, low particulate matter or smoke, and low O2 during the regeneration phase. As a means of reductant delivery, in-cylinder post fuel injection with a feedforward (FF) control has been applied due to its simple implementation in an engine management system (EMS). However, with this method, it is difficult to satisfy the driving quality and emission constraints during the transition to or out of the regeneration phase. To solve this problem, we propose a novel LNT regeneration control method using an indicated mean effective pressure (IMEP) and a combustion lambda feedback (FB) control combined with the FF control. For the precise FB control of the post injection timing, among the location of the second rate of heat release (ROHR) peak, the magnitude of the second ROHR peak, and IMEP, the IMEP was selected as a control parameter because of its lowest cyclic variation. In addition, the exhaust lambda control was applied for the accurate FB control of the post injection quantity. The proposed method was implemented in an in-house EMS. The performance in several engine tests indicated that the torque fluctuation was minimized and all emission constraints were effectively satisfied. Furthermore, this method was also robust with regard to the thermal disturbance.

[1]  Myoungho Sunwoo,et al.  Fault Diagnosis of Exhaust Gas Recirculation and Variable Geometry Turbocharger Systems in a Passenger Car Diesel Engine Based on a Sliding Mode Observer for Air System States Estimation , 2014 .

[2]  Pierluigi Pisu,et al.  Model-based fault detection and isolation for a diesel lean NOx trap aftertreatment system , 2010 .

[3]  Myoungho Sunwoo,et al.  VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network , 2013 .

[4]  Junmin Wang,et al.  Two-Level Nonlinear Model Predictive Control for Lean NOx Trap Regenerations , 2010 .

[5]  Myoungho Sunwoo,et al.  Real-Time Combustion Phase Detection Using Central Normalized Difference Pressure in CRDI Diesel Engines , 2012 .

[6]  S. Midlam-Mohler,et al.  Regeneration Control for a Bypass-Regeneration Lean NOx Trap System , 2006, 2006 American Control Conference.

[7]  Junmin Wang,et al.  NO and NO2 Concentration Modeling and Observer-Based Estimation Across a Diesel Engine Aftertreatment System , 2011 .

[8]  C. Daw,et al.  Microkinetic Modeling of Lean NOx Trap Chemistry under Reducing Conditions , 2008 .

[9]  Junmin Wang,et al.  Nonlinear model predictive control of lean NOx trap regenerations , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[10]  T. Johnson Diesel Emission Control in Review , 2001 .

[11]  T. Jacobs Simultaneous reduction of nitric oxide and particulate matter emissions from a light -duty diesel engine using combustion development and diesel oxidation catalyst. , 2005 .

[12]  D. Assanis,et al.  Investigation of Hydrogen Emissions in Partially Premixed Diesel Combustion , 2009 .

[13]  G. McTaggart-Cowan,et al.  Experimental Study of Low Temperature Diesel Combustion Sensitivity to Engine Operating Parameters , 2012 .

[14]  L. Grüne,et al.  Nonlinear Model Predictive Control : Theory and Algorithms. 2nd Edition , 2011 .

[15]  T. Johnson Vehicular Emissions in Review , 2012 .

[16]  Dennis N. Assanis,et al.  Method and Detailed Analysis of Individual Hydrocarbon Species From Diesel Combustion Modes and Diesel Oxidation Catalyst , 2007 .