Using Neural Networks to Compensate Altitude Effects on the Air Flow Rate in Variable Valve Timing Engines

Wu, Bin; Filipi, Zoran; Kramer, Denise; Ohl, Gregory L.; Prucka, Michael; Divaletin, Eugenio

doi:10.4271/2005-01-0066

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…The intake air pressure and temperature directly affects on engine knock limits and the engine management retards the spark time to control the knock. Wu et al (2005) implemented neural network model to compensate the effects of altitude on the air flow rate of combustion engine to reduce cost and time of experimental effort. The effects of fuel sensitivity and altitude on the control parameters of modern production vehicles have been investigated by Bell (2010).…”

Section: Fig 1 Altitude Above Sea Level For Some Iranian Citiesmentioning

confidence: 99%

Effects of Altitude and Temperature on the Performance and Efficiency of Turbocharged Direct Injection Gasoline Engine

Motahari¹,

Chitsaz²

2019

JAFM

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Iran is located at the high altitude region and has a diverse four season climate. The temperature difference of two locations at the same time reaches to 50° C. Therefore, the modern direct injection turbocharged engines are highly affected at this condition. This paper deals with the effects of temperature and pressure variations on the engine performance and fuel consumption of turbocharged gasoline direct injection engine. Ford ecoboost is selected for this study and the base experiments are performed at the sea level. At the next step, a comprehensive one-dimensional model of the engine is constructed in GT power and validated with experimental data. Validated model is implemented to investigate the effects of ambient air variations on the engine performance and fuel consumption. The simulations revealed that low end torque is not highly affected by the temperature increase due to the turbocharging compensation while engine torque is significantly dropped at high engine speeds in the elevated temperatures. At constant air temperature, brake specific fuel consumption is decreased for higher intake pressure up to 3000 rpm and does not change up to 3500 rpm.

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Section: Fig 1 Altitude Above Sea Level For Some Iranian Citiesmentioning

confidence: 99%

Effects of Altitude and Temperature on the Performance and Efficiency of Turbocharged Direct Injection Gasoline Engine

Motahari¹,

Chitsaz²

2019

JAFM

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“…Limited experimental data are acquired in the test cell to identify model coefficients such as turbulence dissipation constant, heat transfer correlation coefficient, and engine friction model coefficients. Previous studies have demonstrated that the highfidelity simulation tool is capable of capturing air flow rate accurately [28,42].…”

Section: High-fidelity Simulation Toolmentioning

confidence: 99%

“…The procedure for determining the optimal structure of an ANN model has been developed in previous studies [28,42]. Networks with one, two and three hidden layers are trained first.…”

Section: Ann Surrogate Modelsmentioning

confidence: 99%

A Simulation-Based Approach for Developing Optimal Calibrations for Engines with Variable Valve Actuation

Filipi

Prucka

et al. 2007

Oil & Gas Science and Technology - Rev. IFP

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Résumé -Une approche basée sur la simulation pour le développement de réglages optimaux des moteurs avec système d'actionnement variable de soupape -La technologie d'actionnement variable de soupape (Variable Valve Actuation, VVA) présente un fort potentiel pour augmenter les performances et réduire consommation et pollution. Les avantages du VVA proviennent d'une meilleure aération et de la possibilité de contrôler les résidus internes. Par contre, l'addition de variables de contrôle supplémentaires dans un moteur VVA augmente la complexité du système, ce qui nécessite la mise au point d'une stratégie de contrôle optimale afin d'en tirer tous les bénéfices. L'approche traditionnelle reposant sur l'expérimentation s'avère trop onéreuse dans ce cas du fait de l'augmentation exponentielle du nombre de tests. Ce projet propose comme alternative de définir le réglage des soupapes comme un problème d'optimisation. Il identifie les simulations nécessaires au développement d'une méthode générique capable d'intégrer un nombre croissant de degrés de liberté afin de développer un outil de grande fidélité pour la prédiction des effets de différents dispositifs. Puisque la résolution d'un problème d'optimisation requiert l'évaluation de centaines de fonctions, l'utilisation directe d'une simulation hautefidélité demande des temps de calculs beaucoup trop longs. En remplacement, un réseau artificiel de neurones est entraîné avec des résultats de simulation haute-fidélité et utilisé pour représenter la réponse du moteur à différentes combinaisons de variables de contrôle, et ce avec des temps de calcul beaucoup plus courts. Cet article décrit une méthode basée sur la simulation, apporte des détails sur les techniques de modélisation haute-fidélité et démontre une application à un prototype de moteur à essence à quatre cylindres et double arbre à cames indépendant. Abstract

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Cam-Phasing Optimization Using Artificial Neural Networks as Surrogate Models-Maximizing Torque Output

Wu¹,

Prucka²,

Filipi³

et al. 2005

SAE Technical Paper Series

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Using Neural Networks to Compensate Altitude Effects on the Air Flow Rate in Variable Valve Timing Engines

Cited by 5 publications

References 23 publications

Effects of Altitude and Temperature on the Performance and Efficiency of Turbocharged Direct Injection Gasoline Engine

Effects of Altitude and Temperature on the Performance and Efficiency of Turbocharged Direct Injection Gasoline Engine

A Simulation-Based Approach for Developing Optimal Calibrations for Engines with Variable Valve Actuation

Cam-Phasing Optimization Using Artificial Neural Networks as Surrogate Models-Maximizing Torque Output

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