Comparison of Cylinder Pressure Based Knock Detection Methods

1997 ◽  
Author(s):  
Klaas Burgdorf ◽  
Ingemar Denbratt
Author(s):  
Todd E. Tousignant ◽  
Graham T. Reader ◽  
Jimi Tjong

Combustion knock caused by end gas autoignition continues to be a limiting factor in the performance of automotive internal combustion engines. As such, the availability of efficient knock detection methods is a prime requirement for the optimization of engine mapping and control. Current production knock control systems are based on the measurement of mechanical vibration induced by the acoustic resonance excited in the combustion chamber during autoignition. These vibrations are measured using accelerometers on the engine block. Conversely, knock detection in the laboratory environment during engine development or calibration generally involves either acoustic methods or acquisition of in-cylinder pressure. The purpose of this study is to develop an improved multi-transducer vibration-based knock detection method with applications in engine development and production. The possibility of replacing the pressure-based detection methods in the laboratory environment presents many advantages relating to cost and efficiency. Moreover, the economy of a vibration-based system coupled with improved correlation to laboratory methods represents great potential for performance improvements if applied to production applications.


2021 ◽  
Vol 14 (3) ◽  
Author(s):  
Muhammed Fayaz Palakunnummal ◽  
Sahu Priyadarshi ◽  
Mark Ellis ◽  
Marouan Nazha

2020 ◽  
Author(s):  
Simon Haertl ◽  
Josef Kainz ◽  
Harry Schuele ◽  
Johannes Beer ◽  
Matthias Gaderer

1998 ◽  
Author(s):  
Jong-Hwa Lee ◽  
Sung-Hwan Hwang ◽  
Jin-Soo Lim ◽  
Dong-Chan Jeon ◽  
Yong-Seok Cho

Author(s):  
Mohammad Momeni Movahed ◽  
Hassan Basirat Tabrizi ◽  
Seyed Mostafa Agha Mirsalim

Processing the knock sensor's signal is the most common approach for knock detection in series production vehicles. Filtration, rectification, and integration in a defined knock window (KW) are main steps to compute the standard knock intensity (SKI). The SKI strongly depends on the engine operating conditions. In this study, a novel model is proposed based on the knock sensor analysis to determine the normalized knock intensity (NKI) with much less dependency on the operating conditions, cylinder numbers (CNs), and KW. Implementing the proposed normalization model, a fixed detection threshold can be used for knock detection at all operating conditions. To verify the model, an accurate knock detection method based on cylinder pressure analysis is utilized, which comprises intensity calculation and a novel technique for detection threshold determination. Experimental results at all operating conditions show a square of correlation coefficient greater than 0.7 when the knock intensity from the presented model is compared with the reference cylinder pressure based method. In addition, the model detects all heavy knocking cycles and there is no wrongly detected knocking combustion.


1997 ◽  
Vol 119 (4) ◽  
pp. 614-619 ◽  
Author(s):  
Piero Azzoni

Knowledge of the pressure waveform in each cylinder of a spark-ignition engine may provide useful diagnostic information concerning engine operation. This paper presents a method for the reconstruction of the indicated pressure waveform for each cylinder of a multicylinder internal combustion engine using engine block vibration signals. The method permits the reconstruction of the cylinder pressure waveform, cycle by cycle, during free accelerations. The procedure has good potential for application in end-of-assembly diagnostic tests, using a noncontacting laser velocimeter. The same signal processing method may be applicable on-board an automobile to perform an on-line cylinder-by-cylinder diagnostics, using the same vibration sensor used for knock detection in many production vehicles.


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