Ion current signal and characteristics of ethanol/gasoline dual fuel HCCI combustion

Liu, Yintong; Li, Liguang; Ye, Junyu; Deng, Jun; Wu, Zhijun

doi:10.1016/j.fuel.2015.10.082

Cited by 19 publications

(5 citation statements)

References 19 publications

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“…Then, the existence of small heterogeneties caused by wall effects and heat losses under theoretically homogeneous conditions (e.g., HCCI conditions) lead to a reactivity gradient and, therefore, to a sequential autoignition [5].…”

Section: New Combustion Modes Based On Autoignition Under Low Temperamentioning

confidence: 99%

A phenomenological explanation of the autoignition propagation under HCCI conditions

Desantes

López

García-Oliver

et al. 2017

Fuel

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A phenomenological explanation about the autoignition propagation under HCCI conditions is developed in this paper. To do so, diffusive effects from the burned zones to the fresh mixture, pressure waves based effects and expansion effects caused by combustion are taken into account. Additionally, different Damköhler numbers have been defined and evaluated in order to characterize the phenomenon and quantify the relevance of each effect.

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Section: New Combustion Modes Based On Autoignition Under Low Temperamentioning

confidence: 99%

A phenomenological explanation of the autoignition propagation under HCCI conditions

Desantes

López

García-Oliver

et al. 2017

Fuel

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show abstract

“…Gerard proposed a methodology based on ion current for extraction of critical parameters including combustion phasing, knock detection and combustion stability [16]. Liu et al applied the ion current to HCCI combustion sensing and proposed a thermal phase model of the HCCI combustion ion current signal, which was used to analyze the relationship between combustion parameters and ion current parameters [17]. Furthermore, the combustion signal sensing technology based on ion current has been introduced into the study of fuel ratio of ethanol/gasoline dual fuel engine.…”

Section: Introductionmentioning

confidence: 99%

A Virtual Combustion Sensor Based on Ion Current for Lean-Burn Natural Gas Engine

Wang

Zhou

Dong

et al. 2022

Sensors

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In this study, an innovative sensor was designed to detect the key combustion parameters of the marine natural gas engine. Based on the ion current, any engine structurally modified was avoided and the real-time monitoring for the combustion process was realized. For the general applicability of the proposed sensor, the ion current generated by a high-energy ignition system was acquired in a wide operating range of the engine. It was found that engine load, excess air coefficient (λ) and ignition timing all generated great influence on both the chemical and thermal phases, which indicated that the ion current was highly correlated with the combustion process in the cylinder. Furthermore, the correlations between the 5 ion current-related parameters and the 10 combustion-related parameters were analyzed in detail. The results showed that most correlation coefficients were relatively high. Based on the aforementioned high correlation, the novel sensor used an on-line algorithm at the basis of neural network models. The models took the characteristic values extracted from the ion current as the inputs and the key combustion parameters as the outputs to realize the online combustion sensing. Four neural network models were established according to the existence of the thermal phase peak of the ion current and two different network structures (BP and RBF). Finally, the predicted values of the four models were compared with the experimental values. The results showed that the BP (with thermal) model had the highest prediction accuracy of phase parameters and amplitude parameters of combustion. Meanwhile, RBF (with thermal) model had the highest prediction accuracy of emission parameters. The mean absolute percentage errors (MAPE) were mostly lower than 0.25, which proved a high accuracy of the proposed ion current-based virtual sensor for detecting the key combustion parameters.

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“…Besides the direct indication of misfiring or partial burn events, a further use of IC sensing is knock detection, [19][20][21][22][23][24] based on analysis of high frequency components of IC signal similar to those detected by an in-cylinder pressure sensor exposed to the same phenomenon. [24][25][26] There have also been many studies on use of the IC signal for monitoring and closed-loop control of the combustion process in homogeneous charge compression ignition (HCCI) engines [27][28][29][30][31][32][33][34][35][36] and controlled auto-ignition (CAI) engines. 37,38 A recent proposed application regards the possibility of detecting precursor phenomena of pre-ignition.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the reliability of ionization current measurement in estimating peak pressure angle in a spark ignition engine

Giglio¹,

Ragione²,

Gaeta³

et al. 2021

International Journal of Engine Research

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Ionization current measured at the spark plug during combustion in spark ignition engines has often been proposed to determine the crank-angle at combustion pressure peak, namely the peak pressure angle, for the purpose of regulating spark timing to attain maximum brake torque (MBT). The proposal is based on the assumption that agreement exists between peak pressure angle and the angular position of the ionization current second peak, although no one has ever proved it by an appropriate statistical analysis. The aim of this work, for the first time and by rigorous statistical methods, is to prove the agreement between Peak Pressure Angle and Ionization Current Second Peak Angle (ICSPA), without which a MBT control via ICSPA would be ineffective. Our experimental database consisted of about 9000 pairs of Peak Pressure Angle and Ionization Current Second Peak Angle values corresponding to 90 different operating conditions of a spark ignition engine. A two-sample comparison was first carried out between mean values of Peak Pressure Angle and Ionization Current Second Peak Angle, which showed a statistically significant difference between them. Then Bland-Altman analysis (Lancet, 1986), widely known and used for checking agreement between two different measurement methods, was conducted. It demonstrated that under almost all the experimental operating conditions, there was no agreement between the Ionization Current Second Peak Angle and the Peak Pressure Angle.

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Ion current signal and characteristics of ethanol/gasoline dual fuel HCCI combustion

Cited by 19 publications

References 19 publications

A phenomenological explanation of the autoignition propagation under HCCI conditions

A phenomenological explanation of the autoignition propagation under HCCI conditions

A Virtual Combustion Sensor Based on Ion Current for Lean-Burn Natural Gas Engine

Assessment of the reliability of ionization current measurement in estimating peak pressure angle in a spark ignition engine

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