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Article . 2016 . Peer-reviewed
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Combustion Stability Control of Dieseline PPCI Based on In-Cylinder Pressure Signals

Authors: Changsheng Yao; Yaodong Hu; Tianyuan Zhou; Fuyuan Yang; Haiyan Huang; Minggao Ouyang;

Combustion Stability Control of Dieseline PPCI Based on In-Cylinder Pressure Signals

Abstract

Abstract 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 θ pmax (crank angle where p max occurs) cannot be properly identified by the control system. Thus, COV (coefficient of variation) of p max and θ 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, COV imep 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 COV imep and MPRR (maximum pressure rise rate). COV imep 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 COV imep and MPRR can be restrained below their threshold) by an acceptable level. The simulation results show that COV imep and MPRR can be restrained simultaneously under different loads.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average
gold