The New DaimlerChrysler Corporation 5.7L HEMI® V8 Engine

Lee, R. E.; Hartman, P. G.; Macfarlane, G. R.; Maru, D. B.; Pannone, Greg; Martinez, T.; Cruz, Juan Pérez; Winship, M.

doi:10.4271/2002-01-2815

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…To achieve high engine power output and to improve efficiency, many technologies have been introduced, e.g. variable valve actuation, variable compression ratio, and downsizing with turbocharging [1][2][3][4][5][6][7][8][9][10][11]. Methodologies for maximizing the performance and fuel economy have been proposed, including the simulation-based optimization procedures for high-degree-of-freedom engines [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…Increasing turbulence is a very effective way of achieving that. Dual spark plug systems [5] have also been explored as means of increasing the relative flame area and speeding up reactions. However, this is accompanied by a much higher heat loss compared with the state-of-the-art combustion chamber design with the centrally located spark plug, because of the increased wall area in contact with the burned gases.…”

Section: Introductionmentioning

confidence: 99%

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Real-time estimation of combustion variability for model-based control and optimal calibration of spark ignition engines

Lee

Prucka

Filipi

2009

Proceedings of the Institution of Mechanical Engineers, Part D:

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A method for indirect real-time estimation of combustion variability by substitutive measurements is investigated in this paper. An impetus for improving combustion stability, particularly at near-idle conditions, is provided by increasing driver sensitivity to engine noise, vibration, and harshness. The combustion stability is generally quantified by the cycle-by-cycle variations, and represented by the coefficient of variation in the indicated mean effective pressure (COVIMEP). Since the COVIMEP is calculated from a set of IMEP data obtained by experiments, prediction of the COVIMEP in real time from measurements of IMEP is impossible. Instead, an indirect prediction methodology of combustion variability is proposed on the basis of statistical analysis of substitutive measurements. A set of relevant exploratory variables is determined first. Then, trends of the COVIMEP are investigated to determine the regression model, and an exponential form proved to be the best. A systematic regression analysis procedure based on statistical analysis enables the simplest equations to be found while maintaining accuracy. The results demonstrate that the COVIMEP behaviour can be captured as a function of 10–90 per cent burn duration and manifold absolute pressure. The implementation can utilize real-time pressure measurements if the engine is equipped with pressure transducers, or virtual sensing of 10–90 per cent burned using a neural network trained a priori on measured or predicted data. The resulting regression equations derived with and without the charge motion valve enable the estimation of the combustion variability for optimal calibration or model-based control.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-time estimation of combustion variability for model-based control and optimal calibration of spark ignition engines

Lee

Prucka

Filipi

2009

Proceedings of the Institution of Mechanical Engineers, Part D:

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show abstract

“…The combustion variability is generally related to the burn duration, and devices designed to accelerate burning include a special inlet port shape for generating turbulence [3], dual-spark-plug systems [4], and various variable-valve-lift systems [5][6][7][8][9][10][11][12]. These technologies require significant cylinder head design change or expensive actuators.…”

Section: Introductionmentioning

confidence: 99%

Simulation-based optimal calibration of spark ignition engines with multiple objectives: fuel economy and combustion variability

Lee

Kramer

Ohl³

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part D:

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Optimal engine calibration methodology at part-load operating conditions using a multi-scale simulation approach is proposed and demonstrated on a spark ignition engine with dual-independent variable valve timing and a charge motion control valve. Fuel economy is typically selected as a calibration objective at part-load operating conditions. However, to secure vehicle driveability and smooth engine operation with low vibration and harshness, the combustion variability is considered by introducing the coefficient of variation in the indicated mean effective pressure characterized through a statistical analysis of experimental data. Other engine responses are fully predicted through a co-simulation approach by implementing the quasi-dimensional combustion simulation into the one-dimensional gas exchange simulation, and subsequently captured by an artificial neural network for fast computation. The best actuator set points are determined by solving the constrained multiple-objective optimization problem with fuel economy and combustion variability objectives under partload conditions. The calibration eliminates a high combustion variability at low loads and low speeds, maintaining most of the fuel economy benefit achievable with variable valve timing, and it can be used for an implementable feedforward control strategy.

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Optimal Calibration of high DOF Engines Considering Fuel Economy and Combustion Stability

Lee

Kramer

Ohl³

et al. 2009

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The New DaimlerChrysler Corporation 5.7L HEMI® V8 Engine

Cited by 6 publications

References 4 publications

Real-time estimation of combustion variability for model-based control and optimal calibration of spark ignition engines

Real-time estimation of combustion variability for model-based control and optimal calibration of spark ignition engines

Simulation-based optimal calibration of spark ignition engines with multiple objectives: fuel economy and combustion variability

Optimal Calibration of high DOF Engines Considering Fuel Economy and Combustion Stability

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