A Numerical Contribution to the Improvement of Individual Cylinder AFR Control in a 4 Cylinder S.I. Engine

Millo, Federico; Ferraro, Carlo Vincenzo; Pilo, L.

doi:10.4271/2001-01-1009

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…6 cylinder is The change of engine condition will cause the change of the coefficient matrix. However, according to the research results, 4,5,18 the influence of the working condition is mainly expressed as the influence of the speed on the coefficient matrix C. In general, a set of parameters is effective for 6 250 r/min to 6 500 r/min. This article mainly validates the feasibility of using Kalman state observer to estimate the A/F of each cylinder, and does not discuss the parameter adaptability more.…”

Section: Methods and Resultsmentioning

confidence: 99%

“…7 While for engines with the asymmetrical exhaust manifold, the exhaust gas flow from each cylinder into the exhaust manifold confluence point has a different transport lag. Thus, N coefficient vectors, depending on the number of exhaust runners connecting to the manifold, are needed, 18 which means N Kalman filters will be used simultaneously.…”

Section: Introductionmentioning

confidence: 99%

“…In this article, we propose an individual A/F estimation algorithm for a large-bore six-cylinder gas fuel engine with asymmetrical exhaust runners using one UEGO sensor placed at each side of the exhaust manifold. Unlike the finite impulse response modeling method 17 and the multi-observer co-operation method, 18 we use only one single observer to catch and estimate the imbalance information for each of the three cylinders. In order to meet the needs of the asymmetrical exhaust runners, we modify the common Kalman observer in ''Individual cylinder A/F estimation model'' section.…”

Section: Introductionmentioning

confidence: 99%

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Individual cylinder air–fuel ratio estimation and control for a large-bore gas fuel engine

Wang

Chang

Liu

et al. 2019

International Journal of Distributed Sensor Networks

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For internal combustion engines with multi-cylinders, the differences of fuel injection, air distribution, and even exhaust gas recirculation between cylinders may result in cylinder-to-cylinder imbalance, and then the exhaust emission and engine performance will be poor. The individual cylinder air-fuel ratio control is one of the important techniques used to improve fuel economy and reduce exhaust emission. For the large-bore gas fuel engine with gas fuel injection devices, their mass flow rates would be affected more seriously by the valve lifts than the injector of gasoline engine. In this study, we propose an individual cylinder air-fuel ratio estimation algorithm, based on Kalman filtering, for a gas fuel engine with asymmetrical exhaust runners. The coefficient matrix update step is added to the iterative process of common Kalman observer. The individual cylinder air-fuel ratios are estimated with one single universal exhaust gas oxygen sensor located on each side exhaust manifold. Furthermore, the estimation and feedback control performances with the proposed estimation algorithm are validated with a one-dimensional engine simulation tool. The results indicate that the modified Kalman observer can estimate the individual cylinder air-fuel ratio of gas fuel engine with asymmetrical exhaust runner precisely, with the maximum error smaller than 1% under steady-state conditions, and compensate the gas fuel injection devices for their mass flow rate differences.

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Section: Methods and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%