This paper investigates on cycle-to-cycle variation of dieseline fueled PPCI engine and introduces a closed-loop control method based on in-cylinder pressure sensor. Experiments are performed on a four-cylinder compression ignition engine. Results show that p(max) (maximum in-cylinder pressure) and theta(pmax) (crank angle where p(max) occurs) cannot be properly identified by the control system. Thus, COV (coefficient of variation) of p(max) and theta(pmax) cannot reflect the real combustion fluctuation level. IMEP (indicated mean effective pressure) contains information about the whole combustion process for it is calculated by all the sampled pressure of the current cycle. Therefore. COVIMEP can be chosen as the combustion stability indicator to evaluate cycle-to cycle variation. Besides, sweep experiments of injection timing (IT) and exhaust gas recirculation (EGR) are conducted to investigate the influence of these control parameters on COVIMEP and MPRR (maximum pressure rise rate). COVIMEP is the indicator of combustion stability while MPRR is related to the noise level. Based on detailed analysis of experimental results, a model-based combustion stability closed-loop control algorithm is proposed in order to ensure good combustion stability on the premise that the noise of engine can also be limited (which means COVIMEP and MPRR can be restrained below their threshold) by an acceptable level. The simulation results show that COVIMEP and MPRR can be restrained simultaneously under different loads. (C) 2016; IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
机构:
Advanced Power Train Engineering Div. 1, R and D Group 2, Toyota Motor Corporation, 1200, Mishuku, Susono, Shizuoka, JapanAdvanced Power Train Engineering Div. 1, R and D Group 2, Toyota Motor Corporation, 1200, Mishuku, Susono, Shizuoka, Japan
Nakayama, Shigeki
Ibuki, Taku
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Advanced Power Train Engineering Div. 2, R and D Group 2, Toyota Motor Corporation, 1200, Mishuku, Susono, Shizuoka, JapanAdvanced Power Train Engineering Div. 1, R and D Group 2, Toyota Motor Corporation, 1200, Mishuku, Susono, Shizuoka, Japan
Ibuki, Taku
Matsunaga, Akio
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Engine Management System Planning Dept., Engine Management System Development Div., Toyota Motor Corporation, 1, Toyota-cho, Toyota, Aichi, JapanAdvanced Power Train Engineering Div. 1, R and D Group 2, Toyota Motor Corporation, 1200, Mishuku, Susono, Shizuoka, Japan
Matsunaga, Akio
Fukuma, Takao
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Advanced Power Train Engineering Div. 1, R and D Group 2, Toyota Motor Corporation, 1200, Mishuku, Susono, Shizuoka, JapanAdvanced Power Train Engineering Div. 1, R and D Group 2, Toyota Motor Corporation, 1200, Mishuku, Susono, Shizuoka, Japan
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IFP Energies Nouvelles, 1-4 Av Bois Preau, F-92852 Rueil Malmaison, FranceIFP Energies Nouvelles, 1-4 Av Bois Preau, F-92852 Rueil Malmaison, France
Jean, Maxime
Granier, Pascal
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IFP Energies Nouvelles, 1-4 Av Bois Preau, F-92852 Rueil Malmaison, FranceIFP Energies Nouvelles, 1-4 Av Bois Preau, F-92852 Rueil Malmaison, France
Granier, Pascal
Leroy, Thomas
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IFP Energies Nouvelles, 1-4 Av Bois Preau, F-92852 Rueil Malmaison, FranceIFP Energies Nouvelles, 1-4 Av Bois Preau, F-92852 Rueil Malmaison, France