Accessing the Predictabilities in Cyclic Combustion and Emission Variations in SI Engines for Their Modelling and Control: A Literature Review

Singh, Ajay; Maurya, Rakesh Kumar

doi:10.4271/2021-01-0464

Cited by 7 publications

(7 citation statements)

References 130 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In For further details of the CCV model, the readers may refer to the available literature. 4,7,9 A time irreversibility is present in the heat release data series, which gets escalated when the engine operates at a leaner equivalence ratio. 8 The NND model was able to reproduce this time irreversibility.…”

Section: Noisy Nonlinear Dynamical Model For Si Enginesmentioning

confidence: 99%

“…The combustion data series of a SI engine operated with a stoichiometric charge is believed to be of random nature. 3,4,[7][8][9]42 Nonlinearity is not acting in the NND map near to stoichiometric equivalence ratio, and low magnitude variations are just due to random fluctuations in deterministic components. Recurrence analysis doesn't perform well if the signal-to-noise ratio is too low or if the signal itself is noise.…”

Section: Analysis Of Nnd Model For Si Enginesmentioning

confidence: 99%

“…Singh and Maurya 4 further extended the literature reviewed by Finney et al 3 by including the investigation of cyclic variations in combustion and emissions performed by most non-linear dynamical and chaotic methodologies. Singh and Maurya 4 urged to use feedback controllers near unstable combustion regimes to exploit the deterministic effects observed at such operating conditions. Since earlier times, traditional statistical methods have been used to analyze cyclic combustion dynamics in the IC engines.…”

Section: Introductionmentioning

confidence: 96%

See 2 more Smart Citations

Application of delay embedding and recurrence analysis to a noisy nonlinear map for cyclic combustion dynamics of SI engines

Singh

Maurya

2022

International Journal of Engine Research

Self Cite

View full text Add to dashboard Cite

A noisy nonlinear dynamical (NND) model available for cyclic variations in SI engines is examined using nonlinear time series methods. Heat release time series computed from this model is analyzed by employing bifurcation diagrams, return maps, recurrence plots, and recurrence quantitative analysis techniques. The analysis methodology is at first applied to a noisy Logistic map to optimize the necessary parameters, and later the same is used for the NND map. The presence of noise hides the local patterns of the dynamics and higher periodic orbits, making the bifurcation diagrams look fuzzy for both maps. An increase in the noise level and uncombusted residuals in the NND map advance the onset point of bifurcations toward a higher equivalence ratio. The application of the NND model is extended to represent the SI engine combustion dynamics for a higher amount of internal EGR as it is favored for cycle-resolved control due to its feedback period of one combustion cycle. The combined effect of lean charge and internal EGR leads to a more complex dynamical nature. The addition of a higher amount of internal EGR adds some complex chaotic-like regions in the bifurcation diagrams. For a low level of fluctuations in the NND map, more than four noisy periodic orbits are observed for such operating conditions. The geometry of phase space trajectories for the low-level noisy model data with a high level of internal EGR resembles a chaotic system. Bifurcation diagrams, recurrence plots, and quantitative recurrence analysis indicate an intermittent route to chaos at a highly lean and diluted charge. The presence of deterministic chaotic characteristics in combustion dynamics, along with effort-saving techniques of data acquisition and estimating combustion phasing, depicts the possibilities of practical application in active onboard control of engine systems.

show abstract

Section: Noisy Nonlinear Dynamical Model For Si Enginesmentioning

confidence: 99%

Section: Analysis Of Nnd Model For Si Enginesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

See 1 more Smart Citation

Application of delay embedding and recurrence analysis to a noisy nonlinear map for cyclic combustion dynamics of SI engines

Singh

Maurya

2022

International Journal of Engine Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this framework, combustion efficiency and control become fundamental at all conditions covered by the engine map [10,11]. For example, at part-loads, the interest towards ultra-lean mixtures led to an increase of the combustion Cycle-To-Cycle Variability (CCV), due to the stochastic nature of turbulent flow structures interacting with a flame front which is easy to quench [12,13]. Therefore, high CCV values are an important limiting factor for the SI engine design, because associated with potential knocking phenomena (lower thermal efficiency) [14,15] and misfiring events (enhanced unburned hydrocarbon emissions) [13].…”

mentioning

confidence: 99%

“…A contribution to combustion CCV is also provided by the evolution of the spark-discharge in presence of high gas flow velocities close to the ignition zone [13,16]. In fact, if, from one side, this condition allows to inhibit early combustion fluctuations by shortening the ignition delay [17], on the other hand a strong flow can produce spark blowouts and channel restrikes (re-ignitions), limiting the ignition process [16,18,19,20].…”

mentioning

confidence: 99%

Modeling the Effects of the Ignition System on the CCV of Ultra-Lean SI Engines using a CFD RANS Approach

Sforza¹,

Lucchini²,

Montenegro³

et al. 2021

SAE Technical Paper Series

View full text Add to dashboard Cite

Cycle-To-Cycle Variability (CCV) must be properly considered when modeling the ignition process in SI engines operating with ultra-lean mixtures. In this work, a strategy to model the impact of the ignition type on the CCV was developed using the RANS approach for turbulence modelling, performing multi-cycle simulations for the powercycle only. The spark-discharge was modelled through a set of Lagrangian particles, introduced along the sparkgap and interacting with the surrounding Eulerian gas flow. Then, at each discharge event, the velocity of each particle was modified with a zero-divergence perturbation of the velocity field with respect to average conditions. Finally, the particles velocity was evolved according to the Simplified Langevin Model (SLM), which keeps memory of the initial perturbation and applies a Wiener process to simulate the stochastic interaction of each channel particle with the surrounding gas flow. The particles diameter was also evolved, according to both the energy transfer from the electrodes and the local stretched laminar flame speed. The proposed methodology was assessed against experimental measurements from a pent-roof high-tumble single-cylinder SI engine, equipped with an electrical circuit able to provide both standard and enhanced discharge events. Promising results were achieved in terms of predicted IMEP and its CoV.

show abstract

Investigation of bifurcations in cyclic combustion dynamics of a CNG-diesel RCCI engine

Singh

Saxena

Maurya

2022

Fuel

View full text Add to dashboard Cite

Accessing the Predictabilities in Cyclic Combustion and Emission Variations in SI Engines for Their Modelling and Control: A Literature Review

Cited by 7 publications

References 130 publications

Application of delay embedding and recurrence analysis to a noisy nonlinear map for cyclic combustion dynamics of SI engines

Application of delay embedding and recurrence analysis to a noisy nonlinear map for cyclic combustion dynamics of SI engines

Modeling the Effects of the Ignition System on the CCV of Ultra-Lean SI Engines using a CFD RANS Approach

Investigation of bifurcations in cyclic combustion dynamics of a CNG-diesel RCCI engine

Contact Info

Product

Resources

About