A method for combustion phasing control using cylinder pressure measurement in a CRDI diesel engine

Yoon, Maru; Lee, Kang Yoon; Sunwoo, Myoungho

doi:10.1016/j.mechatronics.2007.06.001

Cited by 47 publications

(20 citation statements)

References 9 publications

(11 reference statements)

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“…However, the method requires enormous in-cylinder pressure data and high computational load. In addition, SOC does not have an identical trend with MFB50 at all times [1].…”

Section: Literature Reviewmentioning

confidence: 81%

“…Conventionally, SOC has been controlled with the start of energizing (SOE) by an open-loop control method [1,7]. However, even if an SOE is consistent, the SOC can be changed by production tolerance, aging, and/or combustion conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Combustion monitoring and/or diagnosis for closed-loop control have been performed using an optical combustion timing sensor, an ionization sensor, and a cylinder pressure sensor [1,5,6]. However, cylinder pressure sensors are the most widely used for combustion control systems since both optical and ionization sensing methods do not guarantee endurance when soot contamination occurs in diesel engine applications [1,7].…”

Section: Introductionmentioning

confidence: 99%

“…However, cylinder pressure sensors are the most widely used for combustion control systems since both optical and ionization sensing methods do not guarantee endurance when soot contamination occurs in diesel engine applications [1,7]. In addition, the cost of a cylinder pressure sensor has been reduced in recent years.…”

Section: Introductionmentioning

confidence: 99%

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Real-time start of a combustion detection algorithm using initial heat release for direct injection diesel engines

Oh¹,

Min

Sunwoo

2015

Applied Thermal Engineering

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“…However, the method requires enormous in-cylinder pressure data and high computational load. In addition, SOC does not have an identical trend with MFB50 at all times [1].…”

Section: Literature Reviewmentioning

confidence: 81%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-time start of a combustion detection algorithm using initial heat release for direct injection diesel engines

Oh¹,

Min

Sunwoo

2015

Applied Thermal Engineering

Self Cite

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“…The crankshaft speed coupled with the Fourier transforms of the vibration signal was also used in [8] as an input for network simulation of in-cylinder pressure. Some other applications to neural networks to engine systems include: the implementation of neural network models using the engine speed signal for fault diagnosis [9]; the simulation of the air-fuel ratio dynamics using recurrent neural networks [10]; the prediction of nitrogen oxide's concentration in the exhaust from in-cylinder pressure signals in Diesel engine based on a radial basis function (RBF) network [11]; an adaptive feed-forward control system of the start of combustion (SOC) using the in-cylinder pressure measurement in a Diesel engine as a feedback variable [12]. Beyond the neural approach, a number of different signal processing tools were implemented for the reconstruction of the pressure signal and other important engine parameters.…”

Section: Introductionmentioning

confidence: 99%

Application of RBF neural networks for real-time pressure prediction in a Diesel engine

Bizon¹,

Continillo

Mancaruso

et al. 2015

IJET

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This study aims at building efficient and robust artificial neural networks (ANN) in order to reconstruct the in-cylinder pressure of a Diesel engine starting from the signal of a low-cost accelerometer placed on the engine block. The accelerometer is a perfect non-intrusive replacement for expensive probes and is prospectively suitable for production vehicles. In this view, the ANN is meant to be efficient in terms of response time. In addition, robustness is sought in order to provide flexibility in terms of operation parameters. The neural network considered here is based on radial basis functions (RBF). The network is trained using measurements from a single cylinder Diesel engine operating under varying conditions. Training data are composed of time series from the accelerometer and corresponding measured in-cylinder pressure signals. The network parameters, including the spread parameter of the radial basis functions and the number of neurons, are used to optimize the network quality. The RBF network is then validated. The results show good correspondence between the measured and the simulated pressure signal. The accuracy of the simulated pressure signals is analyzed in terms of mean square error and in terms of a number of parameters, such as pressure peak and mass burned fraction (MBF), and their angular locations. Robustness is sought with respect to changes in the engine parameters and in the nature of the fuel. The encouraging results indicate that the reconstruction model based on RBF neural networks can be incorporated in the design of fuel-independent real-time control of Diesel engines.

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Introduction

Wijesundara¹,

Azevedo²

2011

Silicon Carbide Microsystems for Harsh Environments

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A method for combustion phasing control using cylinder pressure measurement in a CRDI diesel engine

Cited by 47 publications

References 9 publications

Real-time start of a combustion detection algorithm using initial heat release for direct injection diesel engines

Real-time start of a combustion detection algorithm using initial heat release for direct injection diesel engines

Application of RBF neural networks for real-time pressure prediction in a Diesel engine

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