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Semi-empirical modeling of volumetric efficiency in engines equipped with variable valve timing system

Journal of Central South University 2016年第12期23卷 3132-3142页

作者： Mostafa Ghajar Amir Hasan Ka Kaee Behrooz Mashadi Department of Automotive Engineering Iran university of Science and Technology

Volumetric efficiency and air charge estimation is one of the most demanding tasks in control of today's internal combustion ***,using three-way catalytic converter involves strict control of the air/fuel ratio around the stoichiometric point and hence requires an accurate model for air charge ***,high degrees of complexity and nonlinearity of the gas flow in the internal combustion engine make air charge estimation a challenging *** is more obvious in engines with variable valve timing systems in which gas flow is more complex and depends on more functional *** results in models that are either quite empirical(such as look-up tables),not having interpretability and extrapolation capability,or physically based models which are not appropriate for onboard *** these problems,a novel semi-empirical model was proposed in this work which only needed engine speed,load,and valves timings for volumetric efficiency *** accuracy and generalizability of the model is shown by its test on numerical and experimental data from three distinct *** test errors are 0.0316,0.0152 and 0.24 for the three engines,*** the performance and complexity of the model were compared with neural networks as typical black box *** the complexity of the model is less than half of the complexity of neural networks,and its computational cost is approximately 0.12 of that of neural networks and its prediction capability in the considered case studies is usually *** results show the superiority of the proposed model over conventional black box models such as neural networks in terms of accuracy,generalizability and computational cost.

关键词： engine modeling modeling and simulation spark ignition engine volumetric efficiency variable valve timing

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Design of a hybrid magnetomotive force electromechanical valve actuator

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Frontiers of Information Technology & Electronic Engineering 2017年第10期18卷 1635-1643页

作者： Jawad ASLAM Xing-hu LI Faira Kanwal JANJUA School of Transportation Science and Engineering Beihang University Beijing 100191 China School of Mechanical and Manufacturing Engineering National University of Science and Technology lslamabad 46000 Pakistan School of Natural Sciences University of Engineering and Technology Lahore 54000 Pakistan

We propose a novel axis-symmetric modified hybrid permanent magnet(PM)/electromagnet(EM) magnetomotive force actuator for a variable valve timing camless engine. The design provides a large magnetic force with low energy consumption, low coil inductance, PM demagnetization isolation, and improved transient response. Simulation and experimental results confirm forces of about 200 N(in the presence of coil current) at the equilibrium position and 500 N(in the absence of coil current) at the armature seat. We compared our proposed design with a double solenoid valve actuator(DSVA). The finite element method(FEM) designs of the DSVA and our proposed valve actuator were validated by experiments performed on manufactured prototypes.

关键词： Permanent magnet Electromagnet variable valve timing Camless engine Magnetomotive force

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Logical control scheme with real-time statistical learning for residual gas fraction in IC engines

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Science China(Information Sciences) 2018年第1期61卷 45-57页

作者： Xun SHEN Yuhu WU Tielong SHEN Department of Engineering and Applied Sciences Sophia University School of Control Science and Engineering Dalian University of Technology

In this paper, an optimal control scheme for reducing the fluctuation of residual gas fraction(RGF) under variational operating condition is developed by combining stochastic logical system approach with statistical learning method. The method estimating RGF from measured in-cylinder pressure is introduced firstly. Then, the stochastic properties of the RGF are analyzed according to statistical data captured by conducting experiments on a test bench equipped with a L4 internal combustion engine. The influences to the probability distribution of the RGF from both control input and environment parameters are also analyzed. Based on the statistical analysis, a stochastic logical transient model is adopted for describing cyclic behavior of the RGF. Optimal control policy maps for different fixed operating conditions are calculated then. Besides, a statistical learning-based method is applied to learn the probability density function(PDF)of RGF in the real-time which is used to adjust the control MAP based on logical optimization. The whole optimal control policy map is obtained based on Gaussian process regression with consideration of statistical information of RGF. Finally, the performance of the proposed method is experimentally validated.

关键词： combustion engine statistical learning residual gas fraction variable valve timing logical control

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