Combustion Parameters Estimation Based on Knock Sensor for Control Purpose Using Dedicated Signal Processing Platform

Guillemin, Fabrice; Grondin, Olivier; Chauvin, Jonathan; Nguyen, Emmanuel

doi:10.4271/2008-01-0790

Cited by 20 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, a good correlation can be seen between the cylinder pressure based knock intensity metrics and the accelerometer-based knock intensity metrics. Guillemin et al [34] estimated the instantaneous engine knock by fitting the accelerometer signals with Gaussian function on a 2.2 L HCCI engine and measure the start of combustion where the knock level is out of the user-defined threshold.…”

Section: Accelerometer Signalmentioning

confidence: 99%

“…Another important application of complex cepstral analysis is for signal smoothing. The complex cepstrum was utilized to improve the robustness of the transfer path by smoothing both the source signal and the response signal [34,40,43]. Smoothing the FRF actually reduces the variations of the FRF associated with different operating conditions.…”

Section: Cepstrum Analysismentioning

confidence: 99%

See 1 more Smart Citation

Review of Sensing Methodologies for Estimation of Combustion Metrics

Jia

Naber

Blough

2016

Journal of Combustion

View full text Add to dashboard Cite

For reduction of engine-out emissions and improvement of fuel economy, closed-loop control of the combustion process has been explored and documented by many researchers. In the closed-loop control, the engine control parameters are optimized according to the estimated instantaneous combustion metrics provided by the combustion sensing process. Combustion sensing process is primarily composed of two aspects: combustion response signal acquisition and response signal processing. As a number of different signals have been employed as the response signal and the signal processing techniques can be different, this paper did a review work concerning the two aspects: combustion response signals and signal processing techniques. In-cylinder pressure signal was not investigated as one of the response signals in this paper since it has been studied and documented in many publications and also due to its high cost and inconvenience in the application.

show abstract

Section: Accelerometer Signalmentioning

confidence: 99%

Section: Cepstrum Analysismentioning

confidence: 99%

Review of Sensing Methodologies for Estimation of Combustion Metrics

Jia

Naber

Blough

2016

Journal of Combustion

View full text Add to dashboard Cite

show abstract

“…Combustion parameters could be estimated based on the analysis of other signals [2][3][4][5][6][7][8][9], but usually for calibration purposes cylinder pressure is favored, due to better performance. The use of other signals could be of interest for onboard applications of the proposed calibration methodology: the Engine Control Unit could perform a continuous combustion calibration.…”

Section: Introductionmentioning

confidence: 99%

Automatic Calibration of Control Parameters based on Merit Function Spectral Analysis

et al. 2014

View full text Add to dashboard Cite

The number of actuations influencing the combustion is increasing, and, as a consequence, the calibration of control parameters is becoming challenging. One of the most effective factors influencing performance and efficiency is the combustion phasing: for gasoline engines control variables such as Spark Advance (SA), Air-to-Fuel Ratio (AFR), Variable Valve Timing (VVT), Exhaust Gas Recirculation (EGR) are mostly used to set the combustion phasing. The optimal control setting can be chosen according to a cost function, taking into account performance indicators, such as Indicated Mean Effective Pressure (IMEP), Brake Specific Fuel Consumption (BSFC), pollutant emissions, or other indexes inherent to reliability issues, such as exhaust gas temperature, or knock intensity. The paper proposes the use of the extremum seeking approach during the calibration process. The main idea consists in changing the values of each control parameter at the same time, identifying its effect on the monitored cost function, allowing to shift automatically the control setting towards the optimum solution throughout the calibration procedure. Obviously, the nodal point is to establish how the various control parameters affect the monitored cost function and to determine the direction of the required variation, in order to approach the optimum. This task is carried out by means of a spectral analysis of the cost function: each control variable is varied according to a sine wave, thus its effect on the cost function can be determined by evaluating the amplitude of the Fast Fourier Transform (FFT) of the cost function, for the given excitation frequency. The FFT amplitude is representative of the cost function sensitivity to the control variable variations, while the phase can be used to assess the direction of the variation that must be applied to the control settings in order to approach the optimum configuration. Each control parameter is excited with a different frequency, thus it is possible to recognize the effect of a single parameter by analyzing the spectrum of the cost function for the given excitation frequency. The methodology has been applied to data referring to a PFI engine, trying to maximize IMEP, while limiting the knock intensity and exhaust gas temperature, using SA and AFR as control variables. The approach proved to be efficient in reaching the optimum control setting, showing that the optimal setting can be achieved rapidly and consistently.

show abstract

“…Combustion parameters could be estimated based on the analy sis of other signals [2][3][4][5][6][7][8][9], but usually for calibration purposes cyl inder pressure is favored, due to better performance. The use of other signals could be of interest for on-board applications of the proposed calibration methodology: the engine control unit could perform a continuous combustion calibration.…”

Section: Introductionmentioning

confidence: 99%

Automatic Combustion Phase Calibration With Extremum Seeking Approach

Corti

Forte

Mancini

et al. 2014

Journal of Engineering for Gas Turbines and Power

View full text Add to dashboard Cite

One of the most effective factors influencing performance, efficiency, and pollutant emis sions o f internal combustion engines is the combustion phasing: in gasoline engines elec tronic control units (ECUs) manage the spark advance (SA) in order to set the optimal combustion phase. Combustion control is assuming a crucial role in reducing engine tail pipe emissions and maximizing performance. The number of actuations influencing the combustion is increasing, and as a consequence, the calibration of control parameters is becoming challenging. One of the most effective factors influencing performance and effi ciency is the combustion phasing: for gasoline engines, control variables such as SA, airto-fuel ratio (AFR), variable valve timing (W T), and exhaust gas recirculation (EGR) are mostly used to set the combustion phasing. The optimal control setting can be chosen according to a target function (cost or merit function), taking into account peiformance indicators, such as indicated mean effective pressure (IMEP), brake-specific fuel con sumption (BSFC), pollutant emissions, or other indexes inherent to reliability issues, such as exhaust gas temperature or knock intensity. Many different approaches can be used to reach the best calibration settings: design of experiment (DOE) is a common option when many parameters influence the results, but other methodologies are in use: some o f them are based on the knowledge of the controlled system behavior by means of models that are identified during the calibration process. The paper proposes the use o f a different concept, based on the extremum seeking approach. The main idea consists in changing the values of each control parameter at the same time, identifying its effect on the monitored target function, and allowing to shift automatically the control setting towards the optimum solution throughout the calibration procedure. An original tech nique for the recognition of control parameters variations effect on the target function is introduced, based on spectral analysis. The methodology has been applied to data refer ring to different engines and operating conditions, using IMEP, exhaust temperature, and knock intensity for the definition of the target function and using SA and AFR as control variables. The approach proved to be efficient in reaching the optimum control setting, showing that the optimal setting can be achieved rapidly and consistently.

show abstract

Combustion Parameters Estimation Based on Knock Sensor for Control Purpose Using Dedicated Signal Processing Platform

Cited by 20 publications

References 12 publications

Review of Sensing Methodologies for Estimation of Combustion Metrics

Review of Sensing Methodologies for Estimation of Combustion Metrics

Automatic Calibration of Control Parameters based on Merit Function Spectral Analysis

Automatic Combustion Phase Calibration With Extremum Seeking Approach

Contact Info

Product

Resources

About