An accurate estimation of the intake oxygen concentration (IOC) is a prerequisite to develop the optimal control strategy because it directly affects the combustion and emissions. Since the IOC is determined based on the mass conservation law in the intake manifold, estimating the mass flow rate of the exhaust gas recirculation (EGR) is most critical. However, to estimate the EGR mass flow rate, the conventional orifice valve model causes extrapolation error or inaccurate estimation results under transient operating conditions. In order to improve the estimation performance, this study proposes a correction algorithm for estimating IOC. A dynamic correction state is determined for the orifice valve model. In addition, the intake pressure dynamics is also derived based on the energy conservation law in the intake manifold. Using these dynamic models, a nonlinear parameter varying model is determined, and an extended Kalman filter (EKF) is applied to derive the value of correction state. Furthermore, unmeasurable physical states of the nonlinear parameter varying model are estimated from an air system model that only requires the engine-equipped sensors of mass production engines. The correction algorithm is validated through the engine experiments that clearly demonstrate high accuracy of the IOC estimation during transient conditions, which may apply for the vehicle application.
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January 2018
Research-Article
Estimation of Intake Oxygen Concentration Using a Dynamic Correction State With Extended Kalman Filter for Light-Duty Diesel Engines
Kyunghan Min,
Kyunghan Min
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: sturm@hanyang.ac.kr
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: sturm@hanyang.ac.kr
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Jaewook Shin,
Jaewook Shin
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: jaeuk321@gmail.com
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: jaeuk321@gmail.com
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Donghyuk Jung,
Donghyuk Jung
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: dh1776@naver.com
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: dh1776@naver.com
Search for other works by this author on:
Manbae Han,
Manbae Han
Department of Mechanical and
Automotive Engineering,
Keimyung University,
1095 Dalgubeol-daero,
Daegu 42601, South Korea
e-mail: mbhan2002@kmu.ac.kr
Automotive Engineering,
Keimyung University,
1095 Dalgubeol-daero,
Daegu 42601, South Korea
e-mail: mbhan2002@kmu.ac.kr
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Myoungho Sunwoo
Myoungho Sunwoo
Professor
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: msunwoo@hanyang.ac.kr
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: msunwoo@hanyang.ac.kr
Search for other works by this author on:
Kyunghan Min
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: sturm@hanyang.ac.kr
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: sturm@hanyang.ac.kr
Jaewook Shin
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: jaeuk321@gmail.com
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: jaeuk321@gmail.com
Donghyuk Jung
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: dh1776@naver.com
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: dh1776@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
Automotive Engineering,
Keimyung University,
1095 Dalgubeol-daero,
Daegu 42601, South Korea
e-mail: mbhan2002@kmu.ac.kr
Myoungho Sunwoo
Professor
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: msunwoo@hanyang.ac.kr
Department of Automotive Engineering,
Hanyang University,
222 Wangsimni-ro, Seongdong-gu,
Seoul 04763, South Korea
e-mail: msunwoo@hanyang.ac.kr
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received November 22, 2016; final manuscript received July 21, 2017; published online September 8, 2017. Assoc. Editor: Ryozo Nagamune.
J. Dyn. Sys., Meas., Control. Jan 2018, 140(1): 011013 (15 pages)
Published Online: September 8, 2017
Article history
Received:
November 22, 2016
Revised:
July 21, 2017
Citation
Min, K., Shin, J., Jung, D., Han, M., and Sunwoo, M. (September 8, 2017). "Estimation of Intake Oxygen Concentration Using a Dynamic Correction State With Extended Kalman Filter for Light-Duty Diesel Engines." ASME. J. Dyn. Sys., Meas., Control. January 2018; 140(1): 011013. https://doi.org/10.1115/1.4037390
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