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

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...

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Main Authors: Tianbo Wang, Siqin Chang, Liang Liu, Jianhui Zhu, Yaxuan Xu
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2019-02-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147719833629
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author Tianbo Wang
Siqin Chang
Liang Liu
Jianhui Zhu
Yaxuan Xu
author_facet Tianbo Wang
Siqin Chang
Liang Liu
Jianhui Zhu
Yaxuan Xu
author_sort Tianbo Wang
collection DOAJ
description 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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spelling doaj.art-b49246e7763a44c7a37a162584dee4052023-09-03T00:23:55ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772019-02-011510.1177/1550147719833629Individual cylinder air–fuel ratio estimation and control for a large-bore gas fuel engineTianbo Wang0Siqin Chang1Liang Liu2Jianhui Zhu3Yaxuan Xu4School of Automotive and Traffic Engineering, Jiangsu University of Technology, Changzhou, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaFor 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.https://doi.org/10.1177/1550147719833629
spellingShingle Tianbo Wang
Siqin Chang
Liang Liu
Jianhui Zhu
Yaxuan Xu
Individual cylinder air–fuel ratio estimation and control for a large-bore gas fuel engine
International Journal of Distributed Sensor Networks
title Individual cylinder air–fuel ratio estimation and control for a large-bore gas fuel engine
title_full Individual cylinder air–fuel ratio estimation and control for a large-bore gas fuel engine
title_fullStr Individual cylinder air–fuel ratio estimation and control for a large-bore gas fuel engine
title_full_unstemmed Individual cylinder air–fuel ratio estimation and control for a large-bore gas fuel engine
title_short Individual cylinder air–fuel ratio estimation and control for a large-bore gas fuel engine
title_sort individual cylinder air fuel ratio estimation and control for a large bore gas fuel engine
url https://doi.org/10.1177/1550147719833629
work_keys_str_mv AT tianbowang individualcylinderairfuelratioestimationandcontrolforalargeboregasfuelengine
AT siqinchang individualcylinderairfuelratioestimationandcontrolforalargeboregasfuelengine
AT liangliu individualcylinderairfuelratioestimationandcontrolforalargeboregasfuelengine
AT jianhuizhu individualcylinderairfuelratioestimationandcontrolforalargeboregasfuelengine
AT yaxuanxu individualcylinderairfuelratioestimationandcontrolforalargeboregasfuelengine