In-cylinder Pressure Measurement for Control and Diagnostics in Spark Ignition Engines

2005 ◽  
Author(s):  
V. Giglio ◽  
B. Iorio ◽  
G. Police ◽  
N. Rispoli
Keyword(s):  
Pressure Measurement ◽  
Spark Ignition ◽  
Spark Ignition Engines ◽  
Cylinder Pressure

Comparison of In-Cylinder Pressure Measurement Methods in a Small Spark Ignition Engine

2014 ◽  
Author(s):  
Joseph K. Ausserer ◽  
Alexander K. Rowton ◽  
Keith D. Grinstead ◽  
Paul J. Litke ◽  
Marc D. Polanka
Keyword(s):  
Pressure Measurement ◽  
Spark Ignition ◽  
Measurement Methods ◽  
Spark Ignition Engine ◽  
Cylinder Pressure

Evaluation of compression ratio and blow-by rates for spark ignition engines based on in-cylinder pressure trace analysis

2018 ◽  
Vol 162 ◽  
pp. 98-108 ◽  
Author(s):  
Adrian Irimescu ◽  
Silvana Di Iorio ◽  
Simona Silvia Merola ◽  
Paolo Sementa ◽  
Bianca Maria Vaglieco
Keyword(s):  
Compression Ratio ◽  
Trace Analysis ◽  
Spark Ignition ◽  
Spark Ignition Engines ◽  
Cylinder Pressure ◽  
Pressure Trace

scholarly journals Knock Detection in Spark Ignition Engines Base on Complementary Ensemble Empirical Mode Decomposition-Hilbert Transform

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Fengrong Bi ◽  
Teng Ma ◽  
Jian Zhang ◽  
Lin Li ◽  
Chunfang Shi
Keyword(s):  
Hilbert Transform ◽  
Spark Ignition ◽  
Ensemble Empirical Mode Decomposition ◽  
Cylinder Block ◽  
Spark Ignition Engines ◽  
Cylinder Pressure ◽  
Vibration Signals ◽  
Mode Decomposition ◽  
Engine Cylinder ◽  
Knock Detection

In spark ignition engines, knock onset limits the maximum spark advance. An inaccurate identification of this limit penalises the fuel conversion efficiency. Thus knock feature extraction is the key of closed-loop control of ignition in spark ignition engine. This paper reports an investigation of knock detection in spark ignition (SI) engines using CEEMD-Hilbert transform based on the engine cylinder pressure signals and engine cylinder block vibration signals. Complementary Ensemble Empirical Mode Decomposition (CEEMD) was used to decompose the signal and detect knock characteristic. Hilbert transform was used to analyze the frequency information of knock characteristic. The result shows that, for both of cylinder pressure signals and vibration signals, the CEEMD algorithm could extract the knock characteristic, and the Hilbert transform result shows that the energy of knock impact areas has the phenomenon of frequency concentration in both cylinder pressure signal and cylinder block vibration signal. At last, the knock window is then determined, based on which a new knock intensity evaluation factorKis propose, and it can accurately distinguish between heavy knock, light knock, and normal combustion three states.

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