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Real-time control oriented HCCI engine cycle-to-cycle dynamic modelling

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Abstract

For homogeneous charge compression ignition (HCCI) combustion, the auto-ignition process is very sensitive to in-cylinder conditions, including in-cylinder temperature, in-cylinder components and concentrations. Therefore, accurate control is required for reliable and efficient HCCI combustion. This paper outlines a simplified gasoline-fueled HCCI engine model implemented in Simulink environment. The model is able to run in real-time and with fixed simulation steps with the aim of cycle-to-cycle control and hardware-in-the-loop simulation. With the aim of controlling the desired amount of the trapped exhaust gas recirculation (EGR) from the previous cycle, the phase of the intake and exhaust valves and the respective profiles are designed to vary in this model. The model is able to anticipate the auto-ignition timing and the in-cylinder pressure and temperature. The validation has been conducted using a comparison of the experimental results on Ricardo Hydro engine published in a research by Tianjin University and a JAGUAR V6 HCCI test engine at the University of Birmingham. The comparison shows the typical HCCI combustion and a fair agreement between the simulation and experimental results.

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Authors and Affiliations

  1. School of Mechanical Engineering, University of Birmingham, Birmingham, B15 2TT, UK

    He Ma & Hong-Ming Xu

  2. School of Engineering, University of Warwick, Coventry, CV4 7AL, UK

    Ji-Hong Wang

Authors
  1. He Ma
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  2. Hong-Ming Xu
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  3. Ji-Hong Wang
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Corresponding author

Correspondence to Hong-Ming Xu.

Additional information

He Ma received the B.Eng. degree in automatic control from Beijing Institute of Technology (BIT), Beijing, PRC in 2008 and the M. Sc. (Eng.) degree in automatic control and system engineering in 2009 from the University of Sheffield, Sheffield, UK. He is currently working toward the Ph.D. candidate at the School of Mechanical Engineering in the University of Birmingham, UK.

His research interests include HCCI combustion control, system modelling, real-time control, engine control strategy development, and hybrid electric vehicle modelling.

Hong-Ming Xu received the first and second degrees in 1982 and 1984 respectively, in PRC and became a university lecturer. He obtained the Ph.D. degree from Imperial College London, UK in 1995 and subsequently worked as a research associate and then senior research associate until 1999. He moved to Jaguar Cars in 2000 where he worked as project engineer (2000–2001), team leader (2002–2004), and principal technical specialist (2004–2005) in advanced combustion research. He was project manager and technical leader of the UK Foresight Vehicle LINK projects CHARGE and CHASE for Controlled Homogenous Autoignition Engines from April 2002 to September 2005. He joined the University of Birmingham, UK in October 2005 as reader in automotive engineering. Currently, he is a professor in mechanical engineering, University of Birmingham.

His research interests include fossil fuels and biofuels, fuel systems and mixture preparation, combustion, formation and control of emissions, air flow and turbulence, future powertrain and control, and turbo-machinery.

Ji-Hong Wang received the B.Eng. degree from Wuhan University of Technology, PRC in 1982. She received the M. Sc. degree from Shandong University of Science and Technology, PRC in 1985 and the Ph. D. degree from Coventry University, UK in 1995. Currently, she is a professor in electrical power and control engineering in the School of Engineering, University of Warwick, UK.

Her research interests include nonlinear system control, system modeling and identification, power systems, energy efficient systems and applications of intelligent algorithms.

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Ma, H., Xu, HM. & Wang, JH. Real-time control oriented HCCI engine cycle-to-cycle dynamic modelling. Int. J. Autom. Comput. 8, 317–325 (2011). https://doi.org/10.1007/s11633-011-0587-z

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  • DOI: https://doi.org/10.1007/s11633-011-0587-z

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