2019
DOI: 10.1016/j.measurement.2018.08.024
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Cylinder charge composition observation based on in-cylinder pressure measurement

Abstract: Accurate cylinder charge and composition estimation is crucial for proper combustion control, however, current sensors and models show different issues for transient estimation. The work presented in this paper combines a novel technique for trapped mass estimation, which relies on the in-cylinder pressure resonance, with on-board engine sensors by taking into account the sensors and the intake manifold dynamics with a closed-loop observer.The resonance method provides a measurement of trapped mass with one cy… Show more

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Cited by 18 publications
(6 citation statements)
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“…where m · egr LP and m · egr HP can be estimated by inferring at least one of these two quantities (e.g. with the compressible flow orifice equation 71 ), and using m · egr as needed for the r egr calculation.…”
Section: No X Prediction Modelmentioning
confidence: 99%
“…where m · egr LP and m · egr HP can be estimated by inferring at least one of these two quantities (e.g. with the compressible flow orifice equation 71 ), and using m · egr as needed for the r egr calculation.…”
Section: No X Prediction Modelmentioning
confidence: 99%
“…(Beker et al, 2018;Borole et al, 2018;Je et al, 2016). Both the ignition and fuel control require pressure measurement (Guardiola et al, 2019). In cars, the inlet manifold pressure sensor in petrol engines, and the inlet and exhaust manifold pressure sensor in diesel engines, are important pressure sensors that work based on potentiometric, inductive, capacitive, and piezoelectric techniques.…”
Section: Ceramic Sensors In Automobilesmentioning
confidence: 99%
“…In Guardiola et al, 18 the exhaust temperature was predicted using a polytropic evolution at the exhaust valve opening, while in Bares et al, 19 the precise mass estimation from resonance was demonstrated to improve the knock prediction. The use of resonance to estimate the trapped mass was also profited in Guardiola et al 20,21 to improve the transient estimation by combining the method with current sensors through a Kalman filter.…”
Section: Introductionmentioning
confidence: 99%