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

Oh, Sunhwa; Min, K.; Sunwoo, Myoungho

doi:10.1016/j.applthermaleng.2015.05.079

Cited by 17 publications

(6 citation statements)

References 23 publications

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“…where PR is referred to as the pressure ratio; p z is the measured in-cylinder pressure; p m is the motored in-cylinder pressure; PR max is the maximum value of PR, which is used to normalize PR to obtain the MFB. In this paper, the motored in-cylinder pressure p m is estimated by assuming the motored process as a polytropic process as it was done by many researchers [21][22][23]. In addition, it is assumed that the expansion polytropic index is equal to that of the compression process, the value of which can be estimated by following the calibration procedure as described in Section 4.2.1.…”

Section: Calibration Of Wiebe Function Model Parametersmentioning

confidence: 99%

Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model

Shen

Zhang

Bai

et al. 2020

JMSE

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In this article, to meet the requirements of marine engine room simulator on both the simulation speed and simulation accuracy, a mean value engine model (MVEM) for the 7S80ME-C9.2 marine two-stroke diesel engine was developed and validated in the MATLAB/Simulink environment. In consideration of the significant influence of turbocharger compressor on both the engine steady state performance and transient response, a novel compressor model (mass flow rate and isentropic efficiency model) based on a previous study carried out by the first author was proposed with the aim of achieving satisfactory simulation accuracy within the whole engine operating envelope. The predictive and extrapolative capability of the proposed compressor model was validated by carrying out simulation experiments and analyzing the simulation results under steady state condition and during transient process. To make the traditional MVEM capable of predicting in-cylinder pressure trace, the cylinder pressure analytic model proposed by Eriksson and Andersson for the four-stroke SI (spark ignition) engine was adapted to the 7S80ME-C9.2 marine two-stroke diesel engine based on the characteristic of in-cylinder pressure trace of this type of engine and then coupled to the MVEM developed in this paper. Since there is no need to solve any differential equation as it is done in the 0-D model, the advantage of MVEM in running speed is not impaired. For achieving satisfactory simulation accuracy by using the analytic model, the model parameters were calibrated elaborately by using engine measured data and a 0-D model and the relevant tuning procedure was discussed in detail.

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Section: Calibration Of Wiebe Function Model Parametersmentioning

confidence: 99%

Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model

Shen

Zhang

Bai

et al. 2020

JMSE

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“…Several methods can be found in literatures for real-time detection of combustion parameters in this way. 5–9 Oh et al 5 detected the real-time start of combustion using a modified heat release equation. Fang et al 6 applied the first derivative of the equivalent isentropic index to detect multiple starts of combustion caused by multiple injections.…”

Section: Introductionmentioning

confidence: 99%

Combustion parameter evaluation of diesel engine via vibration acceleration signal

Zhang

Gao

et al. 2021

International Journal of Engine Research

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Efficient combustion control has increasingly become a quality requirement for automobile manufacturers because of its impact on pollutant and greenhouse gas emissions. In view of this, the management system development of modern internal combustion engines is mainly aimed at combustion control. The real-time detection of in-cylinder pressure characteristic parameters has a considerable significance on the closed-loop combustion control of the internal combustion engine. This paper presents a detection method in which the start of combustion, peak pressure, maximum pressure rise rate, and phase of maximum pressure rise rate are identified through vibration acceleration signal. In order to analyze the relationship between vibration and in-cylinder pressure signal, experimental data are acquired in a diesel engine by implementing various injection strategies and engine operating conditions (speed and load). The results show that the start of combustion can be detected by analyzing its relationship with the peak position of the filtered vibration signal, and the phase of the maximum pressure rise rate can be identified by examining its relationship with the zero-cross position that is adjacent to the right of the peak position. Moreover, the filtered vibration signals are also truncated in the same length and utilized as inputs for algorithms to detect the peak pressure and the maximum pressure rise rate. The algorithms are mainly performed on data compression (or feature extraction) and target regression. Major algorithms, such as one-dimensional convolutional neural network, compression sensing, wavelet decomposition, multilayer perceptron, and support vector machine, are tested. Various experimental results verify that for the test engine the phase detection accuracy of the start of combustion and maximum pressure rise rate is less than 1.7°CA for a 95% prediction interval width. For the detection of the peak pressure and maximum pressure rise rate, the normalized error threshold is set as 0.05, then the accuracies can be not less than 95%.

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“…Many implementations of combustion diagnosis can be found in the literature, such as a study on effects of a secondary injection of natural gas on compression-ignition (CI) engines 14 or a study on the effects of using blends of ethanol and n-butanol in diesel. 15 Some investigations suggest the implementation of such models on real-time diagnosis to assist engine control, such as determining the beginning of combustion in CI engines 16 or the combustion duration in SI engines. 17…”

Section: Introductionmentioning

confidence: 99%

“…3,[11][12][13] Many implementations of combustion diagnosis can be found in the literature, such as a study on effects of a secondary injection of natural gas on compressionignition (CI) engines 14 or a study on the effects of using blends of ethanol and n-butanol in diesel. 15 Some investigations suggest the implementation of such models on real-time diagnosis to assist engine control, such as determining the beginning of combustion in CI engines 16 or the combustion duration in SI engines. 17 Other examples of application for combustion diagnosis include the simulation of homogeneous charge compression ignition and spark assisted compression ignition, in which the model must consider the effects of auto-ignition together with flame propagation, 18 in addition to experimental exergetic analysis, 19 calibration of predictive simulation models for engines, 1 and educational purposes, such as engineering education.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of hydrous ethanol combustion in a spark-ignition engine

Rufino

Gallo

Ferreira

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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By evaluating combustion duration and flame development, it is possible to evaluate the effects of utilizing a new type of fuel. This allows for optimization of the operational parameters such as the ignition timing, air–fuel ratio, and throttle opening with respect to efficiency, knock, emissions, and performance. In this work, the combustion of a Brazilian hydrous ethanol fuel was evaluated in a commercial flexfuel engine. Investigations were conducted by performing a heat release analysis of the experimental data and providing combustion characteristics. The experimental design comprised of variations in engine speed, load, ignition timing, and air–fuel ratio under lean condition. The results indicated the relationship between the engine parameters and combustion characteristics under a wide range of operational conditions, and identified the relationship between the physical characteristics of the fuels and their combustion in the commercial engine. For high engine speed, lean combustion presented a similar duration to the stoichiometric combustion duration. When comparing the combustion characteristics obtained for the hydrous ethanol with gasoline combustion, the main differences noted were reduced sensitivity to detonation and a shorter duration of combustion, although the temperature at the start of combustion was lower for ethanol. In addition to shorter combustion duration, ethanol presented a lower value for the Wiebe exponent. The results obtained from the combustion duration values and Wiebe function parameters enable the composition of a set of data required for a simplified combustion simulation.

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

Cited by 17 publications

References 23 publications

Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model

Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model

Combustion parameter evaluation of diesel engine via vibration acceleration signal

Diagnosis of hydrous ethanol combustion in a spark-ignition engine

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