Modeling and Validation of Automotive Engines for Control Algorithm Development

Moskwa, John J.; Hedrick, J. Karl

doi:10.1115/1.2896525

Cited by 123 publications

(31 citation statements)

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“…The throttle body model is based on a one-dimensional steady, isentropic, compressible flow equation for flow across an orifice. This equation is defined [21] as:…”

Section: Calculation Of Actual Engine Volumetric Efficiencymentioning

confidence: 99%

Theoretical and Experimental Analysis of Electromagnetic Variable Valve Timing Control Systems for Improvement of Spark Ignition Engine Performance

A¹

2014

Adv Automob Eng

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The objective of this paper is to meet the requirements of higher torque values at all engine speeds. This can be achieved by varying the valve timing automatically using a new variable valve timing system (VVT), which gives continuously variable valve actuation at all engine speeds. A model engine is designed using dimensional analysis methods and then implemented to verify the proposed control system. Moreover, microcontroller and computeraided control systems are constructed and used to modify the variable valve timing control in the laboratory. In this paper, a mathematical model of variable valve timing is developed to obtain the best volumetric efficiency with optimum valve timing at different engine speeds. From this model, the look-up table is created at all ranges of the engine speed. A single cylinder engine is used to estimate engine performance characteristics for conventional camshaft. In addition, a model engine is designed and constructed to apply the Variable Valve Timing control system. The investigations show that the system is flexible throughout the entire range of operation speeds and is able to alter valve timing concerning both valve opening and closing. The ability of valve opening and closing can be realized with rates higher than these of the conventional timing mechanisms.

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“…The throttle body model is based on a one-dimensional steady, isentropic, compressible flow equation for flow across an orifice. This equation is defined [21] as:…”

Section: Calculation Of Actual Engine Volumetric Efficiencymentioning

confidence: 99%

Theoretical and Experimental Analysis of Electromagnetic Variable Valve Timing Control Systems for Improvement of Spark Ignition Engine Performance

A¹

2014

Adv Automob Eng

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“…A simple functional description of such a system is shown in Fig.1. By making some appropriate assumptions [5,15,17] and applying the feedback linearization technique [8,10,12,15], the linearized longitudinal vehicle dynamics model is obtained as follows:…”

Section: Longitudinal Vehicle Dynamics Modelmentioning

confidence: 99%

Effect of information delay on string stability of platoon of automated vehicles under typical information frameworks

Xiao

Gao

2010

J. Cent. South Univ. Technol.

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The effect of the information delay, which was caused by the nature of the distance sensors and wireless communication systems, on the string stability of platoon of automated vehicles was studied. The longitudinal vehicle dynamics model was built by taking the information delay into consideration, and three typical information frameworks, i.e., leader-predecessor framework (LPF), multiple-predecessors framework (MPF) and predecessor-successor framework (PSF), were defined and their related spacing error dynamics models in frequency domain were proposed. The string stability of platoon of automated vehicles was analyzed for the LPF, MPF and PSF, respectively. Meanwhile, the related sufficient string stable conditions were also obtained. The results demonstrate that the string stability can be guaranteed for the LPF and PSF with considering the information delay, but the ranges of the control gains of the control laws are smaller than those without considering the information delay. For the MPF, the "weak" string stability, which can be guaranteed without considering the information delay, cannot be obtained with considering the information delay. The comparative simulations further demonstrate that the LPF shows better string stability, but the PSF shows better string scalable performance.

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“…The engine model is a mean value phenomenological model [15][16][17][18][19]. This type of model has been designed and successfully used for control applications.…”

Section: Gasoline Engine Modelmentioning

confidence: 99%

Minimization of the fuel consumption of a gasoline engine using dynamic optimization

et al. 2009

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Modeling and Validation of Automotive Engines for Control Algorithm Development

Cited by 123 publications

References 0 publications

Theoretical and Experimental Analysis of Electromagnetic Variable Valve Timing Control Systems for Improvement of Spark Ignition Engine Performance

Theoretical and Experimental Analysis of Electromagnetic Variable Valve Timing Control Systems for Improvement of Spark Ignition Engine Performance

Effect of information delay on string stability of platoon of automated vehicles under typical information frameworks

Minimization of the fuel consumption of a gasoline engine using dynamic optimization

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