Misfire Detection in Automotive Engines Using Structure-Borne Sound

Villarino, R.; Böohme, Johann F.

doi:10.4271/2004-01-0520

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…Indirect in-cylinder pressure measurements are commonly based on the measurement of crankshaft speed fluctuations [6][7][8][9][10][11], engine block vibrations [12][13][14], acoustic emissions [15][16][17][18] and engine torque by means of torque sensors [19]. Most of these approaches, although successful, are limited in accuracy and engine operative range, and require the calibration of a large number of coefficients, together with extensive data acquisition and analysis.…”

Section: Introductionmentioning

confidence: 99%

In-Cylinder Pressure Estimation in a Multi-Cylinder Engine by Combining the Instantaneous Crankshaft Speed Data and a 0D Thermodynamic Model. Numerical Validation

Catalani

Bosi

Baroni

et al. 2022

J. Phys.: Conf. Ser.

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Modern engines require continuous and detailed monitoring in order to minimize variations in performance and emissions during their operation. To this aim, the engine thermodynamic cycle must be brought into focus, with special emphasis on the combustion process. The in-cylinder pressure is the parameter that is most directly associated with the engine thermodynamic cycle. Direct measurements by means of dynamic pressure sensors are commonly used for research and development purpose. Currently, however, the cost and intrusiveness of such sensors, together with the harsh operating conditions that limits their lifetime, make direct measurements of the in-cylinder pressure not yet suitable for mass production applications. As a consequence, there’s great interest in developing cost-effective and reliable alternative solutions to extract pressure trace and combustion indicators such as the indicated mean effective pressure (IMEP). The paper presents a technique for reconstructing the pressure cycle of each cylinder of a multi-cylinder engine by combining the instantaneous crankshaft speed information and a 0D thermodynamic model. Crankshaft position, angular velocity and angular acceleration, coupled with the engine inertia, are used to estimate the effective torque oscillation. The average indicated torque and the combustion torque contribution of each cylinder are then evaluated by coupling the information coming from engine speed and the 0D model. Eventually, through the kinematic relationship between the effective torque and the indicated pressure, the in-cylinder pressure trace is reconstructed. The methodology proposed by the authors allows to evaluate the indicated pressure of each cylinder: this is especially useful for detecting cylinder-to-cylinder variations and misfiring events. Data from a 1D calibrated numerical model of a four-cylinder engine is used for preliminary validation at different engine speeds and loads.

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Section: Introductionmentioning

confidence: 99%

In-Cylinder Pressure Estimation in a Multi-Cylinder Engine by Combining the Instantaneous Crankshaft Speed Data and a 0D Thermodynamic Model. Numerical Validation

Catalani

Bosi

Baroni

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“… engine block vibrations, [6][7][8];  acoustic emissions [9][10][11][12];  engine torque by means of torque sensors [13];  measurements through a load cell placed under the head studs, [14][15][16], correlating force to internal pressure;  the use of an instantaneous speed sensor of the turbocharger, [17][18], which allows to derive the thermodynamic cycle of the various cylinders through the analysis of the energy contained in the exhaust gases; However, all these technologies have the common downside of needing the installation of additional sensors on the engine. On the other hand, the use of instantaneous speed measurement, obtained from the engine's phonic wheel, allows to derive the in-cylinder pressure without the need of additional sensors, being this signal already acquired by the engine control unit [19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Real Time Estimation of Combustion Indicators on a 4-Cylinder CI Turbocharged Engine Based on Instantaneous Engine Speed Measurement with Rapid Prototyping Implementation

Bosi

Catalani

Baroni

et al. 2022

J. Phys.: Conf. Ser.

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In the field of Internal Combustion Engines (ICEs), increasingly stricter regulations on pollutant emissions have made necessary to continuously monitor engine operation. Indeed, in order to tackle fault-induced variations in engine performance, continuous, real-time data related to the engine’s thermodynamic cycle is needed: specifically, obtaining detailed information on the engine combustion phase is paramount. Combustion indicators are calculated through in-cylinder pressure, for which both direct and indirect measurement techniques can be employed. The former are accurate, but suffer from limited durability, while the latter are less accurate, but durable and less expensive, therefore more attractive for mass production applications. A technique for reconstructing the pressure cycle of each cylinder, through the combination of instantaneous crankshaft speed signal and a 0D thermodynamic model, was developed by the authors in MATLAB-Simulink environment and validated against experimental data. The objective of the present study is to implement this model on a four-cylinders CI turbocharged engine. Specifically, since focus was put on assessing the model real-time capability, efforts were made to execute the model inside a real-time controller. The paper presents the results of the experimental campaign that was carried out to validate the developed model. The signals from the pickup wheel and the camshaft phase sensor represent the main inputs, as they allow for the calculation of the engine speed and the detection of each cylinder Firing Top Dead Center (FTDC), respectively. Pressure sensors were mounted in all the cylinders for direct pressure acquisition. Tests were carried out under different operating conditions, specifically by varying speed, load and by reproducing the effects of injector malfunction in one cylinder. The developed model proved to be sensitive to operating conditions variations, correctly calculating combustion indicators such as the Indicating Mean Effective Pressure with real-time capability.

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Self-optimising control of an SI-engine using a torque sensor

Larsson

Andersson

2008

Control Engineering Practice

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Misfire Detection in Automotive Engines Using Structure-Borne Sound

Cited by 8 publications

References 8 publications

In-Cylinder Pressure Estimation in a Multi-Cylinder Engine by Combining the Instantaneous Crankshaft Speed Data and a 0D Thermodynamic Model. Numerical Validation

In-Cylinder Pressure Estimation in a Multi-Cylinder Engine by Combining the Instantaneous Crankshaft Speed Data and a 0D Thermodynamic Model. Numerical Validation

Real Time Estimation of Combustion Indicators on a 4-Cylinder CI Turbocharged Engine Based on Instantaneous Engine Speed Measurement with Rapid Prototyping Implementation

Self-optimising control of an SI-engine using a torque sensor

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