Synchronous, Simultaneous Optimization of Ignition Timing and Air-Fuel Ratio in a Gas-Fueled Spark Ignition Engine

Franklin, Matthew L.; Kittelson, David B.; Leuer, R. H.; Pipho, M. J.

doi:10.4271/940547

Cited by 14 publications

(4 citation statements)

References 5 publications

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“…The ignition timing control for fixed-camshaft engines using a feedforward map-based approach with the engine speed and the load being the primary inputs is well established. [1][2][3][4] Adding control actuators, such as variable valve timing and a charge motion control valve (CMCV), greatly complicates the speed-load map-based spark timing control approach. For example, the test engine used for this research is equipped with dual independent camshaft phasers and a CMCV, allowing over 28,000 unique actuator set-point combinations at each engine speed, load, and air-to-fuel ratio.…”

Section: Introductionmentioning

confidence: 99%

Control-oriented model-based ignition timing prediction for high-degrees-of-freedom spark ignition engines

Prucka

Filipi

Assanis

2012

Proceedings of the Institution of Mechanical Engineers, Part D:

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The pressure to improve automotive fuel economy and emissions has driven the introduction of more complex spark ignition engines. As the number of control actuators increases, traditional ignition timing calibration and control methods become restrictive, creating a need for new feedforward approaches to manage transient operation. This research was conducted to determine whether a control-oriented turbulent flame entrainment model could be developed to predict the ignition timing of an engine with a large number of control actuators. A physics-based approach is used to capture the influence of additional control actuators on the complex interactions affecting the ignition timing. Each actuator is characterized by its influence on the fundamental combustion parameters, such as the residual gas fraction and the turbulence intensity. Experimental results are used to generate semiempirical input and combustion models that are capable of running in real time within an engine controller. The model is used to predict the combustion duration, from the spark to 50% mass fraction burned, at every crank angle position within a reasonable ignition timing window for each engine operating point. With minimal engine mapping, the model was capable of predicting the spark timing to within several degrees of ideal values, demonstrating the feasibility of this approach for use in high-degrees-of-freedom spark ignition engines.

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Section: Introductionmentioning

confidence: 99%

Control-oriented model-based ignition timing prediction for high-degrees-of-freedom spark ignition engines

Prucka

Filipi

Assanis

2012

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Lean burn natural gas engines are particularly attractive because of their potential of lower NOx emissions and enhanced thermal efficiency compared to engines operating under stoichiometric conditions. However, lean burn also increases the likelihood of misfire due to combustion instabilities that result in increased exhaust emissions and reduced efficiency [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Effects of equivalence ratio variations on turbulent flame speed in lean methane/air mixtures under lean-burn natural gas engine operating conditions

Wang

Motheau

Abraham

2017

Proceedings of the Combustion Institute

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Direct numerical simulations (DNS) of turbulent premixed methane/air flames are carried out to investigate the effects of equivalence ratio on the turbulent flame speed in lean mixtures. Turbulent flames are simulated as statistically stationary following a Lagrangian framework using an inflowoutflow configuration. The inflow velocity is dynamically adjusted at run-time to stabilize the flame brush location within the computational domain. Linear forcing is applied inside the unburned mixtures to maintain the turbulent intensities at desired levels. For the same turbulence properties, several equivalence ratios near the lean limit are selected and it is shown that the normalized turbulent flame speed is a function of the equivalence ratio. Velocity and length scales of the imposed turbulence are then selected in such a way that the Karlovitz and Damköhler numbers remain constant for flames of different equivalence ratios. Simulations are run for more than 80 eddy turnover times and the turbulent flame speed is derived by averaging the inflow velocity. The results show that equivalence ratio does not have an explicit effect on the normalized turbulent flame speed above the lean limit. Examining the flame surface statistics, it is shown that the flame surface normal is preferentially parallel to the most compressive strain rate direction for all equivalence ratios. KeywordsDNS of turbulent premixed flames, premixed flame speed, lean-burn, natural gas engines

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“…In the single-objective optimization approaches such as [1][2][3][4][5][6][7][8][9][10], the optimization process usually consists of a constrained optimization problem, namely minimizing vehicle fuel consumption with the emission limit constraints. The vehicle performance (fuel consumption and emissions) depend on the vehicle and driveline specifications, as well as engine variables such as torque, fuel consumption and emission maps.…”

Section: Forming the Optimization Problemmentioning

confidence: 99%

“…After this start, many researches have been contributed in this field. References [1][2][3][4][5][6][7][8][9][10] just include a few number of the many researches performed in this area. Almost in all of these studies, the approach to the problem was as a single-objective problem with the target of minimizing fuel consumption and satisfying standard emission limits as constraints.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Calibration for an Internal Combustion Engine Management System Using Multi-Objective Genetic Algorithms

Vossoughi

Rezazadeh²

2005 IEEE Congress on Evolutionary Computation

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This paper proposes a multi-objective structure for the optimization of an engine control unit mapping. In this way, first an integrated enginevehicle model is developed. The objective functions for the optimization problem can be defined from this model. After describing the structure of the optimization problem, two different multi-objective genetic algorithms, namely Distance-based Pareto Genetic Algorithm and Non-Dominated Sorting Genetic Algorithm (together with Entropy-based Multi-Objective Genetic Algorithm), are proposed and implemented. The results demonstrate the superiority of this computerized structure to the manual mapping methods and also more generality of the multiobjective methods compared to single-objective ones.

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Synchronous, Simultaneous Optimization of Ignition Timing and Air-Fuel Ratio in a Gas-Fueled Spark Ignition Engine

Cited by 14 publications

References 5 publications

Control-oriented model-based ignition timing prediction for high-degrees-of-freedom spark ignition engines

Control-oriented model-based ignition timing prediction for high-degrees-of-freedom spark ignition engines

Effects of equivalence ratio variations on turbulent flame speed in lean methane/air mixtures under lean-burn natural gas engine operating conditions

Optimization of the Calibration for an Internal Combustion Engine Management System Using Multi-Objective Genetic Algorithms

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