The Experts below are selected from a list of 51516 Experts worldwide ranked by ideXlab platform
Myoung Ho Sunwoo - One of the best experts on this subject based on the ideXlab platform.
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A Real-Time Combustion Control With Reconstructed In-Cylinder Pressure by Principal Component Analysis for a CRDI Diesel Engine
Journal of Engineering for Gas Turbines and Power-transactions of The Asme, 2017Co-Authors: Jaesung Chung, Junhyeong Oh, Myoung Ho SunwooAbstract:This paper proposes a real-time combustion control algorithm using reconstructed in-Cylinder Pressure traces by principal component analysis (PCA). The PCA method reconstructs the in-Cylinder Pressure traces using the principal components of the in-Cylinder Pressure traces. It was shown that using only five principal components, we were able to reconstruct the in-Cylinder Pressure traces within 1% root mean squared percent error. Furthermore, the reconstructed in-Cylinder Pressure traces were validated to effectively reduce the cycle-to-cycle variations caused by the noise signals. As a result, the standard deviation of MFB50 which was calculated from the reconstructed in-Cylinder Pressure was reduced by 45%. Furthermore, this combustion parameter was applied to a real-time combustion control. Since variations of the control variables for the real-time combustion control were reduced, the control performances were enhanced.
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real time combustion parameter estimation algorithm for light duty diesel engines using in Cylinder Pressure measurement
Applied Thermal Engineering, 2013Co-Authors: Jaesung Chung, Kyunghan Min, Myoung Ho SunwooAbstract:Abstract This paper proposes a real-time estimation algorithm of combustion parameters for the location of 50% of mass fraction burnt (MFB50), and indicated mean effective Pressure (IMEP). The proposed estimation algorithm uses the difference Pressure only instead of the in-Cylinder Pressure for calculation of the combustion parameters. Since the difference Pressure is the Pressure that is generated only by the combustion, it occurs between the start of combustion (SOC) and the end of combustion (EOC); this allows the proposed algorithm to estimate the combustion parameters with fewer Cylinder Pressure data samples and low computational load compared with the conventional method. The proposed algorithm estimates the IMEP with a result acquired during the MFB50 calculation and that can significantly reduce the computational load required to calculate the combustion parameters. Consequently, the proposed estimation algorithm requires only 51% of the execution time to calculate the combustion parameters compared to the conventional method. The proposed estimation algorithm is validated with an engine experiment under 131 operating conditions that showed high linear correlation with the original combustion parameters. In-Cylinder Pressure based combustion control using the estimated combustion parameters is introduced as a case study and the proposed estimation algorithm validated its significant potential for real-time applications.
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A study on pegging methods for noisy Cylinder Pressure signal
Control Engineering Practice, 2008Co-Authors: Kangyoon Lee, Maru Yoon, Myoung Ho SunwooAbstract:Cylinder Pressure is one of the most valuable parameters for estimating the combustion process. Piezoelectric transducers are normally used for Cylinder Pressure measurements because of their high-frequency response capacity, small size, light weight, and low sensitivity to environmental conditions. However, inherent characteristics of piezoelectric transducers require referencing the output to absolute Pressure (pegging). This study reviews several pegging methods, and proposes a modified least-squares method based on a variable polytropic coefficient. The feasibility of the proposed method is assessed using both the simulated and the experimental Pressure data from common-rail direct injection (CRDI) diesel engine.
Lars Eriksson - One of the best experts on this subject based on the ideXlab platform.
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Cylinder state estimation from measured Cylinder Pressure traces - A Survey
IFAC-PapersOnLine, 2017Co-Authors: Lars Eriksson, Andreas ThomassonAbstract:Abstract In the search for improved performance and control of combustion engines there is a search for the sensors that gives information about the combustion profile and the state of the gases in the combustion chamber. A particular interest has been given to the potential use of the Cylinder Pressure sensor and there is quite a lot of work that has been made in this area. This paper provides a comprehensive list of references and summarizes applications and methods for extracting information from the Cylinder Pressure sensor about the combustion and the gas state. The summary highlights the following topics related to Cylinder Pressure: measurement chain, Cylinder torque, extraction of the burn profile, combustion placement, knocking, Cylinder air mass, air to fuel ratio, residual gas estimation, and Cylinder gas temperature estimation. The focus in the summary is on the latter topics about the gas state but thermodynamic analysis of the combustion process also gets a longer treatment since many methods for information extraction rely on the thermodynamic properties.
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UTILIZING Cylinder Pressure DATA FOR COMPRESSION RATIO ESTIMATION
IFAC Proceedings Volumes, 2016Co-Authors: Marcus Klein, Lars ErikssonAbstract:Four methods for compression ratio estimation based on Cylinder Pressure traces are developed and evaluated for simulated and experimental cycles. Three methods rely upon a model of polytropic compression for the Cylinder Pressure. It is shown that they give good estimates with a small bias at low compression ratios. A variable projection algorithm with a logarithmic norm of the Cylinder Pressure yields the smallest confidence intervals and shortest computational time for th ese three methods. This method is recommended when computational time is an important issue. The polytropic Pressure model lacks information about heat transfer and therefore the estimation bias increases with compression ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This met hod estimates the compression ratio more accurately in terms of bias and variance. The method is more computationally demanding and thus recommended when estimation accuracy is the most important property. In order to estimate the compression ratio as accurately as possible, motored cycles with high initial Pressure should be used. Copyright c ° 2005 IFAC
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Compression ratio estimation based on Cylinder Pressure data
Control Engineering Practice, 2004Co-Authors: Marcus Klein, Lars Eriksson, Jan ÅslundAbstract:Four methods for compression ratio estimation based on Cylinder Pressure traces are developed and evaluated for both simulated and experimental cycles. The first three methods rely upon a model of polytropic compression for the Cylinder Pressure. It is shown that they give a good estimate of the compression ratio at low compression ratios, although the estimates are biased. A method based on a variable projection algorithm with a logarithmic norm of the Cylinder Pressure yields the smallest confidence intervals and shortest computational time for these three methods. This method is recommended when computational time is an important issue. The polytropic Pressure model lacks information about heat transfer and therefore the estimation bias increases with the compression ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This method is able to estimate the compression ratio more accurately in terms of bias and variance. The method is more computationally demanding and is therefore recommended when estimation accuracy is the most important property.
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an analytic model for Cylinder Pressure in a four stroke si engine
SAE International journal of engines, 2002Co-Authors: Lars Eriksson, Ingemar AnderssonAbstract:An analytic model for Cylinder Pressures in spark ignited engines is developed and validated. The main result is a model expressed in closed form that describe the in-Cylinder Pressure development of an SI engine. The method is based on a parameterization of the ideal Otto cycle and takes variations in spark advance and air-to-fuel ratio into account. The model consists of a set of tuning parameters that all have a physical meaning. Experimental validation on two engines show that it is possible to describe the in-Cylinder Pressure of a spark ignited combustion engine operating close to stoichiometric conditions, as a function of crank angle, manifold Pressure, manifold temperature and spark timing.
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Compression Estimation from Simulated and Measured Cylinder Pressure
SAE Technical Paper Series, 2002Co-Authors: Marcus Klein, Lars Eriksson, Ylva NilssonAbstract:Three methods for estimating the compression from measured Cylinder Pressure traces are described and evaluated for both motored and fired cycles against simulated and measured Cylinder Pressure. T ...
Jaesung Chung - One of the best experts on this subject based on the ideXlab platform.
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A Real-Time Combustion Control With Reconstructed In-Cylinder Pressure by Principal Component Analysis for a CRDI Diesel Engine
Journal of Engineering for Gas Turbines and Power-transactions of The Asme, 2017Co-Authors: Jaesung Chung, Junhyeong Oh, Myoung Ho SunwooAbstract:This paper proposes a real-time combustion control algorithm using reconstructed in-Cylinder Pressure traces by principal component analysis (PCA). The PCA method reconstructs the in-Cylinder Pressure traces using the principal components of the in-Cylinder Pressure traces. It was shown that using only five principal components, we were able to reconstruct the in-Cylinder Pressure traces within 1% root mean squared percent error. Furthermore, the reconstructed in-Cylinder Pressure traces were validated to effectively reduce the cycle-to-cycle variations caused by the noise signals. As a result, the standard deviation of MFB50 which was calculated from the reconstructed in-Cylinder Pressure was reduced by 45%. Furthermore, this combustion parameter was applied to a real-time combustion control. Since variations of the control variables for the real-time combustion control were reduced, the control performances were enhanced.
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real time combustion parameter estimation algorithm for light duty diesel engines using in Cylinder Pressure measurement
Applied Thermal Engineering, 2013Co-Authors: Jaesung Chung, Kyunghan Min, Myoung Ho SunwooAbstract:Abstract This paper proposes a real-time estimation algorithm of combustion parameters for the location of 50% of mass fraction burnt (MFB50), and indicated mean effective Pressure (IMEP). The proposed estimation algorithm uses the difference Pressure only instead of the in-Cylinder Pressure for calculation of the combustion parameters. Since the difference Pressure is the Pressure that is generated only by the combustion, it occurs between the start of combustion (SOC) and the end of combustion (EOC); this allows the proposed algorithm to estimate the combustion parameters with fewer Cylinder Pressure data samples and low computational load compared with the conventional method. The proposed algorithm estimates the IMEP with a result acquired during the MFB50 calculation and that can significantly reduce the computational load required to calculate the combustion parameters. Consequently, the proposed estimation algorithm requires only 51% of the execution time to calculate the combustion parameters compared to the conventional method. The proposed estimation algorithm is validated with an engine experiment under 131 operating conditions that showed high linear correlation with the original combustion parameters. In-Cylinder Pressure based combustion control using the estimated combustion parameters is introduced as a case study and the proposed estimation algorithm validated its significant potential for real-time applications.
Roger Johnsson - One of the best experts on this subject based on the ideXlab platform.
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Cylinder Pressure reconstruction based on complex radial basis function networks from vibration and speed signals
Mechanical Systems and Signal Processing, 2006Co-Authors: Roger JohnssonAbstract:Abstract Methods to measure and monitor the Cylinder Pressure in internal combustion engines can contribute to reduced fuel consumption, noise and exhaust emissions. As direct measurements of the Cylinder Pressure are expensive and not suitable for measurements in vehicles on the road indirect methods which measure Cylinder Pressure have great potential value. In this paper, a non-linear model based on complex radial basis function (RBF) networks is proposed for the reconstruction of in-Cylinder Pressure pulse waveforms. Input to the network is the Fourier transforms of both engine structure vibration and crankshaft speed fluctuation. The primary reason for the use of Fourier transforms is that different frequency regions of the signals are used for the reconstruction process. This approach also makes it easier to reduce the amount of information that is used as input to the RBF network. The complex RBF network was applied to measurements from a 6-Cylinder ethanol powered diesel engine over a wide range of running conditions. Prediction accuracy was validated by comparing a number of parameters between the measured and predicted Cylinder Pressure waveform such as maximum Pressure, maximum rate of Pressure rise and indicated mean effective Pressure. The performance of the network was also evaluated for a number of untrained running conditions that differ both in speed and load from the trained ones. The results for the validation set were comparable to the trained conditions.
Ingemar Andersson - One of the best experts on this subject based on the ideXlab platform.
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an analytic model for Cylinder Pressure in a four stroke si engine
SAE International journal of engines, 2002Co-Authors: Lars Eriksson, Ingemar AnderssonAbstract:An analytic model for Cylinder Pressures in spark ignited engines is developed and validated. The main result is a model expressed in closed form that describe the in-Cylinder Pressure development of an SI engine. The method is based on a parameterization of the ideal Otto cycle and takes variations in spark advance and air-to-fuel ratio into account. The model consists of a set of tuning parameters that all have a physical meaning. Experimental validation on two engines show that it is possible to describe the in-Cylinder Pressure of a spark ignited combustion engine operating close to stoichiometric conditions, as a function of crank angle, manifold Pressure, manifold temperature and spark timing.
