Ion Current, Combustion and Emission Characteristics in an Automotive Common Rail Diesel Engine

Henein, Naeim A.; Badawy, Tamer; Rai, Nilesh; Bryzik, Walter

doi:10.1115/1.4004074

Cited by 11 publications

(4 citation statements)

References 15 publications

(11 reference statements)

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“…Ion sensors such as these necessarily measure the concentration of ions only in the proximity of the sensor. 18 Head gasket ion sensors have been shown to produce more global results 3 but are more difficult to manufacture and install. Four locations for the ion sensor were tested by Kubach et al, 1 and the best signal was found to come from the sensor installed in the glow-plug port of the cylinder head.…”

Section: Methodsmentioning

confidence: 99%

The prediction of torque in a diesel engine using ion currents and artificial neural networks

Rao

Honnery

2013

International Journal of Engine Research

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Ion currents in engines contain important information on combustion that sensors that are currently used are unable to detect. This study focuses on the analysis of ion current signals in a diesel engine. The various features of the ion current signal are described in the context of the heat release rate and in-cylinder pressure signal to better understand the components of the ion current. A variety of back-propagation artificial neural networks are used to predict expansion work, net indicated mean effective pressure and engine out torque from the ion current signal. The factors affecting the performance of the artificial neural networks that were investigated were the number of hidden layers, number of hidden nodes and the desired training error. It was found that more complex networks were better able to predict engine out torque and took longer to train. A reduction in the desired training error improved performance up to a point when the network was no longer able to converge. The effect of averaging on the signal was also tested. Averaging signals at the input to the network was found to reduce the accuracy of predictions of the network, as a result of the reduction in size of the training set.

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Section: Methodsmentioning

confidence: 99%

The prediction of torque in a diesel engine using ion currents and artificial neural networks

Rao

Honnery

2013

International Journal of Engine Research

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“…In the ion sensing system, a spark plug is used as the ion current sensor, and a 200 V DC power source is exerted to supply the electric field. The details of this system can be seen in [11,18,30] .…”

Section: Engine Testing and Ion Sensing Systemmentioning

confidence: 98%

“…Recently, several technical solutions including ionic sensor location optimization [11] , alkali metal based ionization enhancement additives [12] and high frequency AC power source [13] , are proposed for improvement of the ion current sensing system. Optimization of any of these proposals will be strongly aided by a chemical kinetic simulation of the in-cylinder flame ionization process.…”

Section: Introductionmentioning

confidence: 99%

A skeletal gasoline flame ionization mechanism for combustion timing prediction on HCCI engines

Dong

Chen

et al. 2017

Proceedings of the Combustion Institute

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Ion current sensing technology has the potential to be a low cost and real time combustion phasing solution for HCCI or HCCI-like engine control. Based on a primary reference fuel oxidation mechanism and a C1-C4 hydrocarbon flame ionization mechanism, a skeletal mechanism for gasoline flame ionization process prediction on HCCI engines was developed in this paper. Since the ion concentrations significantly affect the aroused ion current signals, the mechanism is targeted on accurately predicting both the ion production concentrations and other key combustion characteristics. Through the comparison with the results from the detailed gasoline flame ionization mechanism and experimental results, the predicted maximum hydronium (H 3 O + ) ion concentration and the concentration variation tendency are validated. Additionally, the auto-ignition delay time ( t ign ) accurately predicted under HCCI engine conditions. Through coupling with a 3D-CFD engine model, the skeletal mechanism was applied to predict the important information of incylinder ion species, which are validated by the experimental ion current amplitudes and phases. The results show that the ion current phase (Ion50) matches well with the positions where the predicted ion concentration reaches its maximum, and the ion current amplitudes are well predicted under the conditions of different equivalence ratios ( ) and fuel injection ratios ( Inj ratio ).

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“…This is not the case in diesel engines where different types of flames are produced from the combustion of the heterogeneous charge developed from the fuel sprays injected inside the cylinder [1,2]. Due to the complexity of diesel combustion, only a few publications that deal with ionization appear in the literature [2,[3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Effect of design and operating parameters on the ion current in a single-cylinder diesel engine

Badawy

Rai

Singh

et al. 2011

International Journal of Engine Research

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Ion current has been the subject of extensive research in gasoline engines for in-cylinder combustion sensing and as a feedback signal for closed-loop engine control. The sources of the ion current in gasoline engines have been identified. Such identification is not the case in diesel engines. This paper presents experimental data and analysis of the ion current produced in a single-cylinder diesel engine equipped with an electronically controlled common-rail-injection system using an accessible engine control unit. The experiments cover a wide range of engine speeds, loads, injection pressures, and injection timings. The effect of each operating parameter on the shape of the ion current signal, as well as its amplitude, timing, and phase shift relative to the rate of heat release, are determined.

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Ion Current, Combustion and Emission Characteristics in an Automotive Common Rail Diesel Engine

Cited by 11 publications

References 15 publications

The prediction of torque in a diesel engine using ion currents and artificial neural networks

The prediction of torque in a diesel engine using ion currents and artificial neural networks

A skeletal gasoline flame ionization mechanism for combustion timing prediction on HCCI engines

Effect of design and operating parameters on the ion current in a single-cylinder diesel engine

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