Research Papers: Gas Turbines: Combustion, Fuels, and Emissions

Exhaust Pressure Estimation Using a Diesel Particulate Filter Mass Flow Model in a Light-Duty Diesel Engine Operated With Dual-Loop Exhaust Gas Recirculation and Variable Geometry Turbocharger Systems

[+] Author and Article Information
Hyunjun Lee

Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 133-791, South Korea
e-mail: thomasjr@hanyang.ac.kr

Manbae Han

Department of Mechanical and
Automotive Engineering,
Keimyung University,
1095 Dalgubeol-daero,
Daegu 704-701, South Korea
e-mail: mbhan2002@kmu.ac.kr

Jeongwon Sohn

Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 133-791, South Korea
e-mail: jwonsohn@hanyang.ac.kr

Myoungho Sunwoo

Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 133-791, South Korea
e-mail: msunwoo@hanyang.ac.kr

1Corresponding author.

Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received December 29, 2013; final manuscript received July 10, 2014; published online July 29, 2014. Assoc. Editor: Stani Bohac.

J. Eng. Gas Turbines Power 136(11), 111507 (Jul 29, 2014) (11 pages) Paper No: GTP-13-1463; doi: 10.1115/1.4028018 History: Received December 29, 2013; Revised July 10, 2014

This paper presents a novel method to estimate an exhaust pressure at 357 different steady-state engine operating conditions using a diesel particulate filter (DPF) mass flow model to precisely control the air quantity for a light-duty diesel engine operated with dual-loop exhaust gas recirculation (EGR) and variable geometry turbocharger (VGT) systems. This model was implemented on a 32 bit real-time embedded system and evaluated through a processor-in-the-loop-simulation (PILS) at two transient engine operating conditions. And the proposed model was validated in a vehicle. By applying Darcy's law, the DPF mass flow model was developed and shows a root mean square error (RMSE) of 3.7 g/s in the wide range of the DPF mass flow and above 99% linear correlation with actual values. With such reasonable uncertainties of the DPF mass flow model, the exhaust pressure was estimated via the application of a nonlinear coordinate transformation to the VGT model. The DPF mass flow based exhaust pressure estimation exhibits below 6% error of the exhaust pressure under steady-state conditions. The method was also validated through the PILS and the vehicle test under transient conditions. The results show a reasonable accuracy within 10% error of the exhaust pressure.

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Fig. 4

Environment for PILS validation

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Fig. 3

Engine operating conditions for steady-state DAQ and evaluation

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Fig. 2

Structure of engine control system and DAQ system

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Fig. 1

Schematic diagram of the air system of the target engine [18]

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Fig. 5

Test vehicle and validation environment

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Fig. 6

Structure of the proposed exhaust pressure estimation method

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Fig. 9

Correlation of actual and estimated exhaust manifold temperature

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Fig. 14

Validation result with engine load changes at 1500 rpm

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Fig. 15

Actuator position and EGR fraction during engine load changes at 1500 rpm

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Fig. 16

Validation result in the vehicle

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Fig. 7

Comparison results of pressure and temperature dynamics at 3000 rpm with engine load changes

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Fig. 8

Correlation of actual and estimated DPF mass flow

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Fig. 12

Validation result with engine speed changes at 6 bar of BMEP

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Fig. 13

Actuator position and EGR fraction during engine speed changes at 6 bar of BMEP

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Fig. 10

Steady-state estimation results of exhaust pressure

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Fig. 11

Correlation of actual and estimated exhaust pressure




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