Research Papers: Internal Combustion Engines

Set-Point Adaptation Strategy of Air Systems of Light-Duty Diesel Engines for NOx Emission Reduction Under Acceleration Conditions

[+] Author and Article Information
Kyunghan Min

Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro,
Seoul 04763, South Korea
e-mail: kyunghah.min@gmail.com

Haksu Kim

Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro,
Seoul 04763, South Korea
e-mail: yomovs@naver.com

Manbae Han

Department of Mechanical and
Automotive Engineering,
Keimyung University,
1095 Dalgubeol-daero,
Daegu 42601, South Korea
e-mail: mbhan2002@kmu.ac.kr

Myoungho Sunwoo

Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro,
Seoul 04763, South Korea
e-mail: msunwoo@hanyang.ac.kr

1Corresponding author.

Contributed by the IC Engine Division of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received January 21, 2017; final manuscript received October 6, 2017; published online April 10, 2018. Assoc. Editor: David L. S. Hung.

J. Eng. Gas Turbines Power 140(7), 072801 (Apr 10, 2018) (12 pages) Paper No: GTP-17-1027; doi: 10.1115/1.4038543 History: Received January 21, 2017; Revised October 06, 2017

Modern diesel engines equip the exhaust gas recirculation (EGR) system because it can suppress NOx emissions effectively. However, since a large amount of exhaust gas might cause the degradation of drivability, the control strategy of EGR system is crucial. The conventional control structure of the EGR system uses the mass air flow (MAF) as a control indicator, and its set-point is determined from the well-calibrated look-up table (LUT). However, this control structure cannot guarantee the optimal engine performance during acceleration operating conditions because the MAF set-point is calibrated at steady operating conditions. In order to optimize the engine performance with regard to NOx emission and drivability, an optimization algorithm in a function of the intake oxygen fraction (IOF) is proposed because the IOF directly affects the combustion and engine emissions. Using the NOx and drivability models, the cost function for the performance optimization is designed and the optimal value of the IOF is determined. Then, the MAF set-point is adjusted to trace the optimal IOF under engine acceleration conditions. The proposed algorithm is validated through scheduled engine speeds and loads to simulate the extra-urban driving cycle of the European driving cycle. As validation results, the MAF is controlled to trace the optimal IOF from the optimization method. Consequently, the NOx emission is substantially reduced during acceleration operating conditions without the degradation of drivability.

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Han, M. , and Lee, B. , 2015, “Control Oriented Model of a Lean NOx Trap for the Catalyst Regeneration in a 2.2 L Direct Injection Diesel Engine,” Int. J. Autom. Technol., 16(3), pp. 371–378. [CrossRef]
Friedrich, I. , Liu, C.-S. , and Oehlerking, D. , 2009, “Coordinated EGR-Rate Model-Based Controls of Turbocharged Diesel Engines Via an Intake Throttle and an EGR Valve,” IEEE Vehicle Power and Propulsion Conference (VPPC), Dearborn, MI, Sept. 7–10, pp. 340–347.
Heywood, J. B. , 1988, Internal Combustion Engine Fundamentals, McGraw-Hill, New York.
Zheng, M. , Reader, G. T. , and Hawley, J. G. , 2004, “Diesel Engine Exhaust Gas Recirculation––A Review on Advanced and Novel Concepts,” Energy Convers. Manage., 45(6), pp. 883–900. [CrossRef]
Ammann, M. , Fekete, N. P. , Guzzella, L. , A. , and Glattfelder, A. , 2003, “Model-Based Control of the VGT and EGR in a Turbocharged Common-Rail Diesel Engine: Theory and Passenger Car Implementation,” SAE Paper No. 2003-01-0357.
Upadhyay, D. , Utkin, V. , and Rizzoni, G. , 2002, “Multivariable Control Design for Intake Flow Regulation of a Diesel Engine Using Sliding Mode,” IFAC Proc., 35(1), pp. 277–282. [CrossRef]
Park, I. , Hong, S. , and Sunwoo, M. , 2014, “Robust Air-to-Fuel Ratio and Boost Pressure Controller Design for the EGR and VGT Systems Using Quantitative Feedback Theory,” IEEE Trans. Control Syst. Technol., 22(6), pp. 2218–2231. [CrossRef]
Oh, S. , Min, K. , Kim, Y. , Lee, K. , and Sunwoo, M. , 2016, “Influence of MFB50 Control on Emission Dispersions According to Engine Parameter Changes for Passenger Diesel Engines,” Appl. Therm. Eng., 101, pp. 1–18. [CrossRef]
Chung, J. , Min, K. , and Sunwoo, M. , 2016, “Real-Time Empirical NOx Model Based on in-Cylinder Pressure Measurements for Light-Duty Diesel Engines,” Int. J. Autom. Technol., 17(4), pp. 549–554. [CrossRef]
Mariani, F. , Grimaldi, C. , and Battistoni, M. , 2014, “Diesel Engine NOx Emissions Control: An Advanced Method for the O2 Evaluation in the Intake Flow,” Appl. Energy, 113, pp. 576–588. [CrossRef]
Park, Y. , Min, K. , Chung, J. , and Sunwoo, M. , 2016, “Control of the Air System of a Diesel Engine Using the Intake Oxygen Concentration and the Manifold Absolute Pressure With Nitrogen Oxide Feedback,” Proc. Inst. Mech. Eng., Part D., 230(2), pp. 240–257. [CrossRef]
Tschanz, F. , Amstutz, A. , Onder, C. H. , and Guzzella, L. , 2013, “Feedback Control of Particulate Matter and Nitrogen Oxide Emissions in Diesel Engines,” Control Eng. Pract., 21(12), pp. 1809–1820. [CrossRef]
Zentner, S. , Schäfer, E. , Onder, C. , and Guzzella, L. , 2013, “Model-Based Injection and EGR Adaptation and Its Impact on Transient Emissions and Drivability of a Diesel Engine,” IFAC Proc., 46(21), pp. 89–94. [CrossRef]
Chen, S. K. , and Yanakiev, O. , 2005, “Transient NOx Emission Reduction Using Exhaust Oxygen Concentration Based Control for a Diesel Engine,” SAE Paper No. 0148-7191
Park, I. , Lee, W. , and Sunwoo, M. , 2012, “Application Software Modeling and Integration Methodology Using AUTOSAR-Ready Light Software Architecture,” Trans. Korean Soc. Automot. Eng., 20(6), pp. 117–125.
Lee, K. , Park, I. , SunWoo, M. , and Lee, W. , 2013, “AUTOSAR-Ready Light Software Architecture for Automotive Embedded Control Systems,” Trans. Korean Soc. Autom. Eng., 21(1), pp. 68–77. [CrossRef]
Min, K. , Jung, D. , and Sunwoo, M. , 2015, “Air System Modeling of Light-Duty Diesel Engines With Dual-Loop EGR and VGT Systems,” IFAC-PapersOnLine, 48(15), pp. 38–44. [CrossRef]
Wang, J. , 2008, “Air Fraction Estimation for Multiple Combustion Mode Diesel Engines With Dual-Loop EGR Systems,” Control Eng. Pract., 16(12), pp. 1479–1486. [CrossRef]
Park, Y. , Park, I. , Lee, J. , Min, K. , and Sunwoo, M. , 2013, “Nonlinear Compensators of Exhaust Gas Recirculation and Variable Geometry Turbocharger Systems Using Air Path Models for a CRDI Diesel Engine,” ASME J. Eng. Gas Turbines Power, 136(4), p. 041602. [CrossRef]
Min, K. , Shin, J. , Jung, D. , Han, M. , and Sunwoo, M. , 2017, “Estimation of Intake Oxygen Concentration Using a Dynamic Correction State With EKF for Light-Duty Diesel Engines,” ASME J. Dyn. Syst. Meas. Control, 140(1), p. 011013. [CrossRef]
Muric, K. , Stenlaas, O. , Tunestal, P. , and Johansson, B. , 2013, “A Study on in-Cycle Control of NOx Using Injection Strategy With a Fast Cylinder Pressure Based Emission Model as Feedback,” SAE Paper No. 2013-01-2603.
Savva, N. S. , and Hountalas, D. T. , 2014, “Evolution and Application of a Pseudo-Multi-Zone Model for the Prediction of NOx Emissions From Large-Scale Diesel Engines at Various Operating Conditions,” Energy Convers. Manage., 85, pp. 373–388. [CrossRef]
Arora, J. , 2004, Introduction to Optimum Design, Academic Press, Cambridge, MA.
Walke, N. H. , Marathe, N. V. , and Nandgaonkar, M. R. , 2013, “Simplified Combustion Pressure and NOx Prediction Model for DI Diesel Engine,” SAE Paper No. 2013-26-0131.
Heywood, J. , 1988, Internal Combustion Engine Fundamentals, McGraw-Hill, New York.
Finesso, R. , Misul, D. , and Spessa, E. , 2013, “Estimation of the Engine-out NO2/NOx Ratio in a EURO VI Diesel Engine,” SAE Paper No. 2013-01-0317.
Finesso, R. , and Spessa, E. , 2014, “A Real Time Zero-Dimensional Diagnostic Model for the Calculation of in-Cylinder Temperatures, HRR and Nitrogen Oxides in Diesel Engines,” Energy Convers. Manage., 79, pp. 498–510. [CrossRef]


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Fig. 1

Engine experimental environment

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Fig. 2

Overall mode structure of air system model

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Fig. 3

Extended Kalman filter for oxygen fraction estimation

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Fig. 4

Correlations between EGR rate and combustion phase under actuator varying conditions: (a) Engine speed: 1250 rpm, (b) engine speed: 1500 rpm, and (c) engine speed: 1750 rpm

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Fig. 10

Adaptation process under the acceleration conditions

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Fig. 11

Overall structure of the MAF control

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Fig. 12

Estimation results under extended-urban driving cycle (EUDC) engine experiment

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Fig. 13

Engine operating condition under EUDC engine experiment

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Fig. 14

Adaptation results under EUDC engine experiment (a, b)

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Fig. 15

Adaptation results under EUDC engine experiment (c)

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Fig. 5

Modeling results about IOF, NOx, and Torque index models: (a) IOF modeling result, (b) NOx modeling result, and (c) torque index modeling result

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Fig. 8

Optimization process

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Fig. 7

Cost function curves about intake oxygen fraction: (a) cost function curve and searching optimal point and (b) normalized cost function curve according to weight parameter w1

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Fig. 6

Sensitivities between input variables and the NOx emission: (a) sensitivity of the NOx emission to the change of IOF, (b) sensitivity of the MFB50 to the change of IOF, and (c) sensitivity of the NOx emission to the chnge of MFB50

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Fig. 9

Overall structure of set-point adaptation algorithm




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