Estimation of the Cylinder Pressure in a SI Engine Using the Variation of Crankshaft Speed

1994 ◽  
Author(s):  
Byeongjin Lim ◽  
Inkeon Lim ◽  
Jongbum Park ◽  
Youngjin Son ◽  
Eungseo Kim
Keyword(s):  
Cylinder Pressure ◽  
Si Engine

A New Knock-Detection Method using Cylinder Pressure, Block Vibration and Sound Pressure Signals from a SI Engine

1998 ◽  
Author(s):  
Jong-Hwa Lee ◽  
Sung-Hwan Hwang ◽  
Jin-Soo Lim ◽  
Dong-Chan Jeon ◽  
Yong-Seok Cho
Keyword(s):  
Sound Pressure ◽  
Detection Method ◽  
Cylinder Pressure ◽  
Si Engine ◽  
Knock Detection

IMEP-Estimation and In-Cylinder Pressure Reconstruction for Multicylinder SI-Engine by Combined Processing of Engine Speed and One Cylinder Pressure

2005 ◽  
Author(s):  
Haris Hamedović ◽  
Franz Raichle ◽  
Jörg Breuninger ◽  
Wolfgang Fischer ◽  
Werner Dieterle ◽  
...  
Keyword(s):  
Engine Speed ◽  
Cylinder Pressure ◽  
Si Engine

Comparison of Artificial Neural Network and Fuzzy Logic Approaches for the Prediction of In-Cylinder Pressure in a Spark Ignition Engine

2020 ◽  
Vol 142 (9) ◽  
Author(s):  
Özgür Solmaz ◽  
Habib Gürbüz ◽  
Mevlüt Karacor
Keyword(s):  
Fuzzy Logic ◽  
Spark Ignition ◽  
Operating Conditions ◽  
Spark Ignition Engine ◽  
Experimental Results ◽  
Cylinder Pressure ◽  
Ann Model ◽  
Pressure Data ◽  
Si Engine ◽  
Artificial Neural

Abstract In first stage, a machine learning (ML) was performed to predict in-cylinder pressure using both fuzzy logic (FL) and artificial neural networks (ANN) depending on the results of experimental studies in a spark ignition (SI) engine. In the ML phase, the experimental in-cylinder pressure data of SI engine was used. SI engine was operated at stoichiometric air–fuel mixture (φ = 1.0) at 1200, 1400, and 1600 rpm engine speeds. Six different ignition timings, ranging from 15 to 45 °CA, were used for each engine speed. Correlations (R2) between data from in-cylinder pressure obtained via FL and ANN models and data form experimental in-cylinder pressure were determined. R2 values over 0.995 were obtained at an ML stage of ANN model for all test conditions of the engine. However, R2 values were remained between range of 0.820–0.949 with the FL model for different engine speeds and ignition timings. In the second stage, in-cylinder pressure prediction was performed by using an ANN model for engine operating conditions where no experimental results were obtained. Furthermore, indicated mean effective pressure (IMEP) values were calculated by predicting in-cylinder pressure data for different engine operation conditions, and then compared with experimental IMEP values. The results show that the in-cylinder pressure and IMEP results estimated with the trained ANN model are fairly close to the experimental results. Moreover, it was found that using the trained ANN model, the ignition timing corresponding to the maximum brake torque (MBT) used in the engine management systems and engine studies could be determined with high accuracy.

Input Adaptation for Control Oriented Physics-Based SI Engine Combustion Models Based on Cylinder Pressure Feedback

2015 ◽  
Vol 8 (4) ◽  
pp. 1463-1471 ◽  
Author(s):  
Shu Wang ◽  
Qilun Zhu ◽  
Robert Prucka ◽  
Michael Prucka ◽  
Hussein Dourra
Keyword(s):  
Cylinder Pressure ◽  
Si Engine ◽  
Combustion Models ◽  
Engine Combustion ◽  
Pressure Feedback ◽  
Input Adaptation

A New Criterion for Judging SI Engine In-Cylinder Pressure Development for Its Effect on Combustion Noise

1998 ◽  
Vol 120 (3) ◽  
pp. 664-668 ◽  
Author(s):  
J. Yang ◽  
R. W. Anderson
Keyword(s):  
Pressure Rise ◽  
Combustion Noise ◽  
Maximum Pressure ◽  
Cylinder Pressure ◽  
Si Engine ◽  
Rise Rate ◽  
Pressure Development ◽  
New Criterion ◽  
Measured Pressure ◽  
Lower Noise

The effect of engine in-cylinder pressure development on combustion noise is studied based on measured pressure traces and the attenuation-curve theory by Austen and Priede (1958). A new criterion is proposed that correlates better to the noise levels predicted by the attenuation theory than the commonly used maximum pressure rise rate. The effect of engine bore size on combustion noise is studied next with the same engine speed, the same piston mean speed, or the same power output, respectively. For the first two cases, a smaller bore size results in a lower noise level.

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