Gasoline Engine Knock Analysis using Cylinder Pressure Data

1998 ◽  
Author(s):  
Michael F.J. Brunt ◽  
Christopher R. Pond ◽  
John Biundo
Keyword(s):  
Gasoline Engine ◽  
Cylinder Pressure ◽  
Pressure Data ◽  
Engine Knock

scholarly journals Engine knock margin control using in-cylinder pressure data: Preliminary results

2017 ◽  
Author(s):  
Giulio Panzani ◽  
Olga Galluppi ◽  
Donald Selmanaj ◽  
Sergio Savaresi ◽  
Jonatan Rosgren ◽  
...  
Keyword(s):  
Cylinder Pressure ◽  
Pressure Data ◽  
Preliminary Results ◽  
Engine Knock ◽  
Margin Control

Research on the Changing Regularity of Ionic Current and Cylinder Pressure when the Gasoline Engine Knocks

2011 ◽  
Vol 130-134 ◽  
pp. 361-364
Author(s):  
Yue Guo Sun ◽  
Zhao Cheng Yuan ◽  
Li Ying Li ◽  
Shi Yu Li ◽  
Meng Liu
Keyword(s):  
Gasoline Engine ◽  
Ionic Current ◽  
Signal Acquisition ◽  
Cylinder Pressure ◽  
Current Signal ◽  
Ignition System ◽  
Actual Application ◽  
High Tension ◽  
Engine Knock ◽  
And Control

Theoretically speaking, we can achieve the detection and control of the parameters of engine knock and ms-PULSE etc effectively and accurately by analysis the ionic current signals. But in actual application, it is difficult to detect the ionic current signals because of the interference of high pressure from high-tension ignition system. At present, the application of ionic current signal in the detection and control of engine knock is still in the initial early stages. We optimized the signal acquisition system, interference the suppression, achieve the effective detection of ionic current signal in the tests we mentioned in the topic, and then, we analysis and compared the character of ionic current and cylinder pressure signals we collected under different working conditions, exploration and testing is carried out for the further recognition and control of engine knock using the ionic current signals.

scholarly journals In-Cylinder Pressure Based Engine Knock Classification Model for High-Compression Ratio, Automotive Spark-Ignition Engines Using Various Signal Decomposition Methods

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3117
Author(s):  
Junghwan Kim
Keyword(s):  
Learning Algorithm ◽  
Wavelet Packet ◽  
Decomposition Methods ◽  
Classification Model ◽  
Misclassification Rate ◽  
Cylinder Pressure ◽  
Intrinsic Mode Functions ◽  
Normal Cycle ◽  
Engine Knock ◽  
Cycle Detection

Engine knock determination has been conducted in various ways for spark timing calibration. In the present study, a knock classification model was developed using a machine learning algorithm. Wavelet packet decomposition (WPD) and ensemble empirical mode decomposition (EEMD) were employed for the characterization of the in-cylinder pressure signals from the experimental engine. The WPD was used to calculate 255 features from seven decomposition levels. EEMD provided total 70 features from their intrinsic mode functions (IMF). The experimental engine was operated at advanced spark timings to induce knocking under various engine speeds and load conditions. Three knock intensity metrics were employed to determine that the dataset included 4158 knock cycles out of a total of 66,000 cycles. The classification model trained with 66,000 cycles achieved an accuracy of 99.26% accuracy in the knock cycle detection. The neighborhood component analysis revealed that seven features contributed significantly to the classification. The classification model retrained with the seven significant features achieved an accuracy of 99.02%. Although the misclassification rate increased in the normal cycle detection, the feature selection decreased the model size from 253 to 8.25 MB. Finally, the compact classification model achieved an accuracy of 99.95% with the second dataset obtained at the knock borderline (KBL) timings, which validates that the model is sufficient for the KBL timing determination.

First Principle Based Control Oriented Gasoline Engine Model Including Lumped Cylinder Dynamics

2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Ahmed Yar ◽  
A. I. Bhatti ◽  
Qadeer Ahmed
Keyword(s):  
Gasoline Engine ◽  
Angular Speed ◽  
Rigid Bodies ◽  
First Principle ◽  
Cylinder Pressure ◽  
Single Cylinder ◽  
Engine Model ◽  
Proposed Model ◽  
Engine Cylinder ◽  
Diagnostic Capabilities

A novel first principle based control oriented model of a gasoline engine is proposed which also carries diagnostic capabilities. Unlike existing control oriented models, the formulated model reflects dynamics of the faultless as well as faulty engine with high fidelity. In the proposed model, the torque production subsystem is obtained by integration of further two subsystems that is model of a single cylinder torque producing mechanism and an analytical gasoline engine cylinder pressure model. Model of a single cylinder torque producing mechanism is derived using constrained equation of motion (EOM) in Lagrangian mechanics. While cylinder pressure is evaluated using a closed form parametric analytical gasoline engine cylinder pressure model. Novel attributes of the proposed model include minimal usage of empirical relations and relatively wider region of model validity. Additionally, the model provides model based description of crankshaft angular speed fluctuations and tension in the rigid bodies. Capacity of the model to describe the system dynamics under fault conditions is elaborated with case study of an intermittent misfire condition. Model attains new capabilities based on the said novel attributes. The model is successfully validated against experimental data.

Research of NOx Emissions Characteristic of Engine Fuelled with M40

2011 ◽  
Vol 382 ◽  
pp. 22-25
Author(s):  
Xin Guang Li ◽  
Bing Yuan Han ◽  
Rong Hai Yang
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Simulation Model ◽  
Compression Ratio ◽  
Gasoline Engine ◽  
Volume Ratio ◽  
Nox Emissions ◽  
Cylinder Pressure ◽  
Variable Parameters ◽  
Vehicle Engine

A numerical simulation model for gasoline engine was established by GT-POWER in order to study the NOx emissions characteristic of vehicle engine fuelled with M40 (the methanol and the gasoline in volume ratio 40∶60) and was validated by Experimental data. Based on the model, the variable parameters study including air-fuel radio, compression radio and ignition advance angle were carried out. The model results showed that the compression radio and the air-fuel radio played an important role during the NOx emissions characteristic. There is a significant improvement of the NOx emissions with the compression ratio increases. The cylinder pressure increased with the improvement of the compression ratio brought out the NOx emissions rise. With the improvement of the air-fuel ratio, NOx emissions increased first and then decreased. A larger ignition advance angle can increase the pressure and the temperature of the cylinder.

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