A transient virtual-AFR sensor using the in-cylinder ion current signal

Rivara, N.; Dickinson, Paul; Shenton, A.T.

doi:10.1016/j.ymssp.2009.01.004

Cited by 19 publications

(12 citation statements)

References 20 publications

(30 reference statements)

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“…No model is required for the engine, and the network is able to learn and adapt to the dynamic and non-linear aspects of the engine. This would make it possible to have adequate A/F ratio control during transient conditions [19][20][21].…”

Section: Biogas Fuelling Of Enginesmentioning

confidence: 99%

“…More data points with wider variation of parameters will increase the performance of a neural network [19], [20]. It should be noted that the performance of the neural network is dependent on the data encountered within the training [19], [20]. Liu found that a neural network was able to track data extremely well even during transient conditions [19].…”

Section: Biogas Fuelling Of Enginesmentioning

confidence: 99%

See 1 more Smart Citation

Achieving Low Emissions From a Biogas Fueled SI Engine Using a Catalytic Converter

Tadrous

Wallace

2012

ASME 2012 Internal Combustion Engine Division Fall Technical Conference

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Utilization of biogas is attractive from a greenhouse gas standpoint since it is carbon neutral due to the use of renewable resources. One source of biogas is anaerobic digestors. The biogas produced could be used to power IC engine-generator sets to produce electric power and heat on farms and in rural and northern communities. Use of local energy sources is particularly attractive in remote regions where liquid fuels must be shipped in via difficult terrain. Whatever the fuel, the engine must meet stringent exhaust emission standards. Biogas is typically used in spark ignition engines, where stoichiometric engine operation coupled to a three-way catalyst is a proven technology for achieving low emissions. An appropriate three-way catalyst was selected on the basis of tests with natural gas. A flow mixing system was used to create simulated biogas mixtures consisting of varying concentrations of methane, carbon dioxide, hydrogen and nitrogen. The effectiveness of the catalyst in achieving low emissions when the engine was fueled by the various simulated biogas mixtures was assessed.

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Section: Biogas Fuelling Of Enginesmentioning

confidence: 99%

Section: Biogas Fuelling Of Enginesmentioning

confidence: 99%

Achieving Low Emissions From a Biogas Fueled SI Engine Using a Catalytic Converter

Tadrous

Wallace

2012

ASME 2012 Internal Combustion Engine Division Fall Technical Conference

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“…In another study, a principal component analysis of the spark ionization signal with manifold absolute air pressure, fuel pulse width and engine speed were used in an artificial neural network (ANN) to estimate the AFR in transient and steady state operations. In that study, a three-layer NARX network was used and the prediction performance of AFR was 0.9724 of R 2 [2]. The use of spark plug voltage characteristics in an ANN to achieve a cheap solution for the AFR measurement was investigated by Walters et al According to results of the study, the excess air coefficient could be measured with ±0.1 accuracy using an ANN-based spark voltage characterization method [3].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the ionization current contains information about combustion phases and cylinder pressure [23,24]. Consequently, the ionization current measurement is a feasible method that can be used to determine combustion parameters [2,25].…”

Section: Introductionmentioning

confidence: 99%

Effects of engine parameters on ionization current and modeling of excess air coefficient by artificial neural network

Şahin

2015

Applied Thermal Engineering

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“…Ion sensing technology gradually proved to be one of the most promising approaches for HCCI combustion phasing in mass production engines [14,15]. In mass productive engines, either the spark plug or the heating plug can be used as the sensor to measure the ion current signals without modifying the engine structure.…”

Section: Introductionmentioning

confidence: 99%

Study of the phase-varying mechanisms of ion current signals for combustion phasing in a gasoline HCCI engine

Dong

et al. 2013

Fuel

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Study on the gasoline flame ionization mechanism and ion current phase variation for HCCI combustion phasing AbstractIn this paper, the gasoline flame ionization mechanism and the phase variation of the ion current signal were investigated to understand the mechanism of ion current based HCCI combustion phasing.A kinetic model was developed to analyze the ion current formation and recombination process by coupling gasoline flame ionization mechanism with engine combustion model. The modeling results indicated that on the tested HCCI engine, the production rate of H 3 O + ions is nearly third order with respect to the concentration of air fuel mixtures, and it is also increased when the intake temperature rises. During the ion recombination process, numerically the H 3 O + recombination rate can be regarded as second order with respect to its concentration. Due to the above affecting mechanism, the phase varying tendency of the ion current signals is as same as the heat release curves, but the phase offsets between them varies under different combustion boundary conditions. The calculation results from the multi-zone model indicates that the H 3 O + formation rate is decreased in each zone under leaner fuel concentration conditions, while the ion recombination rate is decreased more significantly because its second order relationship with the ion concentration. Then dI max , the crank angle position with maximum ion production rate, was appeared even later comparing to H max , the position where the maximum heat release rate occurred. Besides, a larger phase offset between dI max and the H max under lower intake temperature conditions was also observed, and can be well predicted by the modeling result.

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A transient virtual-AFR sensor using the in-cylinder ion current signal

Cited by 19 publications

References 20 publications

Achieving Low Emissions From a Biogas Fueled SI Engine Using a Catalytic Converter

Achieving Low Emissions From a Biogas Fueled SI Engine Using a Catalytic Converter

Effects of engine parameters on ionization current and modeling of excess air coefficient by artificial neural network

Study of the phase-varying mechanisms of ion current signals for combustion phasing in a gasoline HCCI engine

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