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research-article

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, Seongdong-gu, Seoul 04763, Republic of Korea
kyunghah.min@gmail.com

Haksu Kim

Department of Automotive Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea
yomovs@naver.com

Manbae Han

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

Myoungho Sunwoo

Professor, Department of Automotive Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea
msunwoo@hanyang.ac.kr

1Corresponding author.

ASME doi:10.1115/1.4038543 History: Received January 21, 2017; Revised October 06, 2017

Abstract

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. 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 regards 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.

Copyright (c) 2017 by ASME
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