Effects of Differential Pressure Sensor Gauge-Lines and Measurement Accuracy on Low Pressure EGR Estimation Error in SI Engines

Kiwan, Rani; Stefanopoulou, Anna G.; Martz, Jason; Surnilla, Gopichandra; Ali, Imtiaz; Styles, Daniel

doi:10.4271/2017-01-0531

Cited by 9 publications

(9 citation statements)

References 14 publications

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“…ideal gas equation and mass conversation law (1,21) with the assumptions in (22) , the intake manifold and exhaust manifold dynamic modeling (22) can be described as following: The torque modeling (24) is summarized as:…”

Section: Physical and Modelingmentioning

confidence: 99%

“…Remark: The nonlinear feedback controller in this paper is designed based on the mean value model of equation 1- (2), in which the dynamic model is designed based on mean value pressure lumping in the manifolds and the pulsations of intake and exhaust manifold pressure are not considered. However, the pulsation of the intake and exhaust manifold pressure are very important for the accurate control of gasoline engine with EGR [24] , the model with considering the pulsation based controller design will be studied in the future research.…”

Section: − *mentioning

confidence: 99%

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Air Path Dynamics Control and Efficiency Optimization with Scenario Approach for Gasoline Engines

Jiang

Shen

2019

IJAE

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This paper presents a control design approach of efficiency optimization while providing the desired torque under the constraint of combustion variation for gasoline engines with EGR. Mainly, the first phase of control design is the equilibrium point optimization under the chance constraint of IMEP probability distribution with a scenario approach, and the second phase is nonlinear dynamic feedback stabilization control design for improving transient performance of the state regulation. The experimental validations demonstrate that the control scheme can achieve stable combustion and fast transient control performance.

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Section: Physical and Modelingmentioning

confidence: 99%

Section: − *mentioning

confidence: 99%

Air Path Dynamics Control and Efficiency Optimization with Scenario Approach for Gasoline Engines

Jiang

Shen

2019

IJAE

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“…The pressure pulsations of varying amplitudes and frequencies also affect the flow characteristics through the EGR valve. 19,20 Pressure variations in the outlet of the turbine can be larger than 7 kPa in certain operating conditions ( Figure 3). Furthermore, when the EGR valve is open, these pulsations travel through the intake system and affect the pressure at the compressor-inlet location.…”

Section: Exhaust Pressure Dynamics and System Aging Challengesmentioning

confidence: 99%

“…The model accounts for the temporal inertia that affects pulsating flows and also considers flow reversals. 20 In order to be able to capture these effects around the EGR valve fast response pressure sensors for crank angle-resolved pressure profiles are required as inputs to the model. However, in the current study, lower-frequency pressure measurements are installed with a sampling time equal to the algorithm’s timestep, thus losing some of the model’s accuracy.…”

Section: Modeling Frameworkmentioning

confidence: 99%

Short-term and long-term adaptation algorithm for low-pressure exhaust gas recirculation estimation in spark-ignition engines

Siokos

Koli

Prucka

2018

International Journal of Engine Research

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Low-pressure exhaust gas recirculation systems are capable of increasing fuel efficiency of spark-ignition engines; however, they introduce control challenges. The low available pressure differential that drives exhaust gas recirculation flow, along with the significant pressure pulsations in the exhaust environment of a turbocharged engine hamper the accuracy of feed-forward estimation models. For that reason, feedback measurements are required in an effort to increase prediction accuracy. Additionally, the accumulation of deposits in the exhaust gas recirculation system and the aging of the valve, change the flow characteristics over time. Under these considerations, an adaptation algorithm is developed which handles both short-term (operating-point-dependent errors) and long-term (system aging) corrections for exhaust gas recirculation flow estimation. The algorithm is based on an extended Kalman filter for joint state and parameter estimation and uses the output of an intake oxygen sensor to adjust the feed-forward prediction by creating an online adaptation map. Two different exhaust gas recirculation estimation models are developed and coupled with the adaptation algorithm. The performance of the algorithm for both estimation models is evaluated in real-time through transient experiments with a turbocharged spark-ignition engine. It is demonstrated that this methodology is capable of creating an adaptation map which captures system aging, while also reduces the estimation bias by more than four times resulting in a prediction error of less than 1%. Finally, this approach proves to be a valuable tool that can significantly reduce offline calibration efforts for such models.

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“…Although accurate estimation can be done despite the pulsating flow at different operating conditions, it requires an extra differential pressure sensor for the EGR loop and considers primarily constant engine speed/load conditions. 9,10…”

Section: Introductionmentioning

confidence: 99%

Learning reference governor for cycle-to-cycle combustion control with misfire avoidance in spark-ignition engines at high exhaust gas recirculation–diluted conditions

Maldonado

Kolmanovsky

et al. 2020

International Journal of Engine Research

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Cycle-to-cycle feedback control is employed to achieve optimal combustion phasing while maintaining high levels of exhaust gas recirculation by adjusting the spark advance and the exhaust gas recirculation valve position. The control development is based on a control-oriented model that captures the effects of throttle position, exhaust gas recirculation valve position, and spark timing on the combustion phasing. Under the assumption that in-cylinder pressure information is available, an adaptive extended Kalman filter approach is used to estimate the exhaust gas recirculation rate into the intake manifold based on combustion phasing measurements. The estimation algorithm is adaptive since the cycle-to-cycle combustion variability (output covariance) is not known a priori and changes with operating conditions. A linear quadratic regulator controller is designed to maintain optimal combustion phasing while maximizing exhaust gas recirculation levels during load transients coming from throttle tip-in and tip-out commands from the driver. During throttle tip-outs, however, a combination of a high exhaust gas recirculation rate and an overly advanced spark, product of the dynamic response of the system, generates a sequence of misfire events. In this work, an explicit reference governor is used as an add-on scheme to the closed-loop system in order to avoid the violation of the misfire limit. The reference governor is enhanced with model-free learning which enables it to avoid misfires after a learning phase. Experimental results are reported which illustrate the potential of the proposed control strategy for achieving an optimal combustion process during highly diluted conditions for improving fuel efficiency.

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Effects of Differential Pressure Sensor Gauge-Lines and Measurement Accuracy on Low Pressure EGR Estimation Error in SI Engines

Cited by 9 publications

References 14 publications

Air Path Dynamics Control and Efficiency Optimization with Scenario Approach for Gasoline Engines

Air Path Dynamics Control and Efficiency Optimization with Scenario Approach for Gasoline Engines

Short-term and long-term adaptation algorithm for low-pressure exhaust gas recirculation estimation in spark-ignition engines

Learning reference governor for cycle-to-cycle combustion control with misfire avoidance in spark-ignition engines at high exhaust gas recirculation–diluted conditions

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