In-Cylinder Pressure Analysis through Accelerometer Signal Processing for Diesel Engine Combustion Optimization

2009 ◽  
Author(s):  
L. Arnone ◽  
S. Manelli ◽  
G. Chiatti ◽  
O. Chiavola
Keyword(s):  
Signal Processing ◽  
Diesel Engine ◽  
Cylinder Pressure ◽  
Accelerometer Signal ◽  
Engine Combustion ◽  
Combustion Optimization ◽  
Pressure Analysis

Signal Processing Parameters for Estimation of the Diesel Engine Combustion Signature

2011 ◽  
Vol 4 (2) ◽  
pp. 1201-1215 ◽  
Author(s):  
Andrew J. Morello ◽  
Jason R. Blough ◽  
Jeffrey Naber ◽  
Libin Jia
Keyword(s):  
Signal Processing ◽  
Diesel Engine ◽  
Processing Parameters ◽  
Engine Combustion

A Model-Based Methodology for Real-Time Estimation of Diesel Engine Cylinder Pressure

2011 ◽  
Vol 133 (3) ◽  
Author(s):  
Ahmed Al-Durra ◽  
Marcello Canova ◽  
Stephen Yurkovich
Keyword(s):  
Signal Processing ◽  
Diesel Engine ◽  
Real Time ◽  
Closed Loop ◽  
Operating Conditions ◽  
Recursive Least Squares ◽  
Cylinder Pressure ◽  
Combustion Control ◽  
Model Based ◽  
Crank Angle

Cylinder pressure is one of the most important parameters characterizing the combustion process in an internal combustion engine. The recent developments in engine control technologies suggest the use of cylinder pressure as a feedback signal for closed-loop combustion control. However, the sensors measuring in-cylinder pressure are typically subject to noise and offset issues, requiring signal processing methods to be applied to obtain a sufficiently accurate pressure trace. The signal conditioning implies a considerable computational burden, which ultimately limits the use of cylinder pressure sensing to laboratory testing, where the signal can be processed off-line. In order to enable closed-loop combustion control through cylinder pressure feedback, a real-time algorithm that extracts the pressure signal from the in-cylinder sensor is proposed in this study. The algorithm is based on a crank-angle based engine combustion of that predicts the in-cylinder pressure from the definition of a burn rate function. The model is then adapted to model-based estimation by applying an extended Kalman filter in conjunction with a recursive least-squares estimation scheme. The estimator is tested on a high-fidelity diesel engine simulator as well as on experimental data obtained at various operating conditions. The results obtained show the effectiveness of the estimator in reconstructing the cylinder pressure on a crank-angle basis and in rejecting measurement noise and modeling errors. Furthermore, a comparative study with a conventional signal processing method shows the advantage of using the derived estimator, especially in the presence of high signal noise (as frequently happens with low-cost sensors).

scholarly journals Cyclic Pressure Variations in A Small Diesel Engine Fueled with Biodiesel and Antioxidant Blends

2020 ◽  
Vol 17 (2) ◽  
pp. 7851-7857
Author(s):  
M.H. Ali ◽  
A. Abdullah ◽  
M.H. Mat Yasin ◽  
M.K. Kamarulzaman
Keyword(s):  
Diesel Engine ◽  
Engine Speed ◽  
Load Condition ◽  
Combustion Characteristics ◽  
Dual Fuel ◽  
Biodiesel Fuel ◽  
Cylinder Pressure ◽  
Indicated Mean Effective Pressure ◽  
Engine Combustion ◽  
Cyclic Variations

Biodiesel fuel is considered as one of the most competence sustainable replacement for fossil fuel due to their superior combustion characteristics and possesses higher oxygen content. Thus, many researchers recently investigated to improve biodiesel capability by adding additives whether by blending with dual-fuel or tri-fuel. However, the combustion characteristics for biodiesel and biodiesel-additives blends are not thoroughly examined and need additional research works to study how the biodiesel behaviour and characterise. Thus, this research main objective is to study a single-cylinder diesel engine cyclic cylinder pressure variations running with biodiesel with antioxidant (B2HA1.0 and B2HT 1.0) blends with palm oil methyl ester (POME). While The baseline fuels used for this study were biodiesel (B20) and pure diesel (B0). The entire test fuels were examined at a constant engine speed 1800 rpm with 100% engine load condition. The engine combustion characteristics were studied by utilising the indicated mean effective pressure (IMEP) and cyclic variations of combustion pressure at 200 consecutive cycles. Combustion characteristics of engine diesel have been studied by using statistical analysis. The results revealed that the engine running with biodiesel-antioxidants have higher cyclic variations of combustion from B20 and B0, which B2HA1.0 possessed the highest cyclic variations. It can be summarised from the study that biodiesel-antioxidants fuels produce a substantial influence on the engine cyclical variation, which linked to the characteristics of the engine combustion.

Application of FRF with SISO and MISO model for accelerometer-based in-cylinder pressure reconstruction on a 9-L diesel engine

2014 ◽  
Vol 229 (4) ◽  
pp. 629-643 ◽  
Author(s):  
Libin Jia ◽  
Jeffrey Naber ◽  
Jason Blough
Keyword(s):  
Diesel Engine ◽  
Combustion Process ◽  
Principal Component ◽  
Cylinder Pressure ◽  
Single Input Single Output ◽  
Single Output ◽  
Test Conditions ◽  
Accelerometer Signal ◽  
Pressure Estimation ◽  
Offset Compensation

Engine control with feedback from engine combustion process diagnostics can help improve fuel efficiency and assist in meeting stricter emission regulations. The standard is to use in-cylinder pressure measurements with analysis including rate of heat release. The measurement is usually obtained with intrusive sensors that require a special mounting process and engine structure modification. The potential of the low-cost non-intrusive accelerometer as an alternative means to reconstruct the in-cylinder pressure has been demonstrated by previous investigations. In this work, start of injection (SOI) sweep test conditions at varied speed spanning both low load and high load were conducted on an inline 6-cylinder, 9 L diesel engine. The relationship between the in-cylinder pressure and the accelerometer signal was quantified with frequency response function (FRF). The robustness of the obtained FRF was evaluated by applying the single-test-based FRF to reconstruct the in-cylinder pressures for other test conditions. Two models, single-input single-output (SISO) and multiple-input single-output (MISO), were investigated and compared where the accelerometer signal was taken as the input and in-cylinder pressure as the output. The optimal channel used to acquire the input signal in the SISO model was selected on the basis of coherence analysis. Results show that the MISO model assisted by principal component analysis (PCA) and offset-compensation processes can result in better in-cylinder pressure estimation than the SISO model for conditions with 2200 rpm engine speed. With the purpose of minimizing the cost for accelerometer employment, the minimum number of inputs used to reconstruct the in-cylinder pressure in the MISO model was pursued. Thresholds were set based on three estimated in-cylinder pressure parameters to select the qualified input channels and two input channels were finally determined. Results showed that the two-input single-output FRF model coupled with the PCA and offset-compensation processes improves the FRF’s robustness for the in-cylinder pressure estimation in comparison to the SISO FRF model based on all the tests conducted in this paper.

Frequency response function adaptation for reconstruction of combustion signature in a 9-L diesel engine

2015 ◽  
Vol 229 (17) ◽  
pp. 3071-3083 ◽  
Author(s):  
Libin Jia ◽  
Jeffrey D Naber ◽  
Jason R Blough
Keyword(s):  
Diesel Engine ◽  
Frequency Response ◽  
Response Function ◽  
Frequency Response Function ◽  
Phase Error ◽  
Estimation Accuracy ◽  
Cylinder Pressure ◽  
Operating Condition ◽  
Operational Conditions ◽  
Accelerometer Signal

An accelerometer as a low-cost non-intrusive transducer for sensing the combustion events in a diesel engine was investigated via the reconstruction of in-cylinder pressure using an adapting frequency response function (FRF). As the noise introduced into the accelerometer signal and the response to combustion vary with the operating condition, the FRF computed from a single operating condition only works for the same or similar conditions. To overcome this limitation, an adaptation process for the FRF was explored. Robustness of FRF over additional operational conditions with start of injection, start of combustion, and load variations was greatly improved. Frequency domain analysis shows that only the low-frequency content is determinant for the in-cylinder pressure reconstruction, and the adaptation of the first and second (0 Hz and 121 Hz) harmonics of the FRF results in the greatest improvement for the in-cylinder pressure estimation accuracy. The 0 Hz harmonic is adjusted based on the pre-measured in-cylinder pressure offset and the online measured accelerometer signal offset. Particle swam optimization as a computational algorithm is applied to adapt the 121 Hz harmonic of FRF. The results show that the adapted FRF, in comparison to the unadapted FRF, can reduce the phase error up to 1.3 crank angle degrees and reduce the amplitude error by up to 90%.

Application of Extended Kalman Filter to On-Line Diesel Engine Cylinder Pressure Estimation

2009 ◽  
Author(s):  
Ahmed Al-Durra ◽  
Marcello Canova ◽  
Steve Yurkovich
Keyword(s):  
Kalman Filter ◽  
Diesel Engine ◽  
Extended Kalman Filter ◽  
Operating Conditions ◽  
Recursive Least Squares ◽  
Feedback Signal ◽  
Cylinder Pressure ◽  
Combustion Control ◽  
Engine Combustion ◽  
On Line

Cylinder pressure is one of the most important parameters characterizing the combustion process in an internal combustion engine. The recent developments in piezoelectric pressure transducers and progress in on-line computational throughput facilitate the use of cylinder pressure as a feedback signal for engine combustion control. However, a typical production cylinder pressure sensor is subject to noise and offset issues that require signal processing methods, including averaging over several engine cycles, in order to extract a pressure trace sufficiently accurate for combustion characterization. This limits the application of cylinder pressure sensing to off-line applications. In order to enable closed-loop combustion control using cylinder pressure feedback, this study proposes a real-time estimation algorithm that extracts the pressure signal on a crank-angle basis. A simplified thermodynamic model for Diesel engine combustion is derived to predict the in-cylinder pressure. The model is then adapted to model-based estimation, by applying an Extended Kalman Filter in conjunction with a recursive least squares estimation. The resulting estimator is tested on a high-fidelity Diesel engine model for different operating conditions. The results obtained show the effectiveness of the estimator in reconstructing the cylinder pressure and in rejecting measurement noise and modeling errors.

Cylinder Pressure Analysis of a Diesel Engine Using Oxygen-Enriched Air and Emulsified Fuels

1990 ◽  
Author(s):  
R. R. Sekar ◽  
W. W. Murr ◽  
J. E. Schaus ◽  
R. L. Cole ◽  
T. J. Marcihiak ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Cylinder Pressure ◽  
Pressure Analysis
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