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• W2996642685 abstract "The increasing attention in reducing pollutant emissions and fuel consumption in internal combustion engines is promoting the development of more sophisticated control systems for the diagnosis and the optimization of the combustion process. In this view, the real-time monitoring of the in-cylinder pressure is becoming mandatory in order to ensure the desired levels of performance and efficiency. At the current state of technology, however, the cost and the intrusiveness of pressure sensors, coupled with the harsh operating conditions that limit their lifetime, make the direct measurement of in-cylinder pressure not suitable for mass production applications yet. Therefore, cost-effective and reliable alternative solutions to extract the pressure trace are of major interest. In this study, a methodology for this scope has been developed and validated with experiments. The methodology consists in a two-step procedure; first, the mechanical stress signal coming from a piezoelectric strain washer, installed under one of the engine studs, is considered. Then, this information is coupled with a 0D thermodynamic model, able to estimate the in-cylinder pressure for the entire cycle without combustion. In this way it is possible to compare in real-time the estimated in-cylinder pressure and the mechanical stress measured on the engine stud and to define a direct mathematical correlation between the two. The developed model has proven to properly estimate the correlation between stud stress and in-cylinder pressure, providing a more accurate estimation of the in-cylinder pressure, pressure peak position and maximum value, together with the parameters related to the combustion process." @default.
• W2996642685 created "2019-12-26" @default.
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• W2996642685 date "2019-01-01" @default.
• W2996642685 modified "2023-09-26" @default.
• W2996642685 title "A methodology for the estimation of in-cylinder pressure in a four-stroke internal combustion engine based on the combination of a strain washer signal with a 0D thermodynamic model" @default.
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• W2996642685 doi "https://doi.org/10.1063/1.5138806" @default.
• W2996642685 hasPublicationYear "2019" @default.
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