Electromagnetic valve train for gasoline engine exhaust system

For the multi cylinder gasoline engine, the consistency of each cylinder is an important index to affect the emission and the power. In this paper, in order to reduce the air-fuel ratio (A/F) maldistribution of the engine based on the electromagnetic valve train (EMVT), an individual cylinder A/F estimation algorithm is proposed for the individual cylinder A/F control. Based on the analysis of the hybrid and transfer models of the exhaust of each cylinder in steady state, an individual A/F observer is established by using Kalman filter algorithm. Then the unknown parameters in the observer are identified by the differential evolution(DE) algorithm. Only a single wide area exhaust oxygen(UEGO) sensor is needed to identify the unknown parameters and estimate the A/F of each cylinder. The combined simulation of GT-Power and Simulink validates the effectiveness of the proposed estimation approach. The results show that the proposed method can provide good estimation results under steady-state condition.

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Modeling Analysis on Improving Cylinder Balance in A Gasoline Engine Using Electromagnetic Valve Train

International Journal of Automotive Technology ◽

10.1007/s12239-019-0112-x ◽

2019 ◽

Vol 20 (6) ◽

pp. 1195-1203

Author(s):

Yaxuan Xu ◽

Siqin Chang ◽

Liang Liu ◽

Tianbo Wang ◽

Maoyang Hu

Keyword(s):

Gasoline Engine ◽

Valve Train ◽

Electromagnetic Valve ◽

Modeling Analysis

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Brownian coagulation of particles in the gasoline engine exhaust system: Experimental measurement and Monte Carlo simulation

Fuel ◽

10.1016/j.fuel.2021.121340 ◽

2021 ◽

Vol 303 ◽

pp. 121340

Author(s):

Haoye Liu ◽

Yusong Yu ◽

Chongming Wang ◽

Hongming Xu ◽

Xiao Ma

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Experimental Measurement ◽

Gasoline Engine ◽

Exhaust System ◽

Engine Exhaust ◽

Brownian Coagulation ◽

Coagulation Of Particles

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Optimization for one gasoline engine exhaust system based on BOOST

IEEE ICCA 2010 ◽

10.1109/icca.2010.5524197 ◽

2010 ◽

Author(s):

Wenkai Huang ◽

Yi Zhou ◽

Qinghua Chen ◽

Xiaojun Peng

Keyword(s):

Gasoline Engine ◽

Exhaust System ◽

Engine Exhaust

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Loss analysis of electromagnetic valve train under different service conditions

International Journal of Applied Electromagnetics and Mechanics ◽

10.3233/jae-201589 ◽

2021 ◽

pp. 1-13

Author(s):

Xinyu Fan ◽

Jie Yin ◽

Shichuan Su ◽

Hongyan Pang ◽

Yindong Song

Keyword(s):

Internal Combustion Engines ◽

Electric Energy ◽

Exhaust System ◽

Gas Pressure ◽

Valve Train ◽

Loss Distribution ◽

Electromagnetic Valve ◽

Copper Loss ◽

Simulink Model ◽

Service Conditions

Electromagnetic valve train (EMVT) can realize independent, real-time and continuous valve motion regulation through the precise motion servo control, which has great potential to improve the efficiency of internal combustion engines. As an electromechanical integration device, EMVT is driven by electric energy, and the loss distribution is complex and changeable under different service conditions. Especially when the EMVT is used in exhaust system, the high gas pressure after combustion will increase the energy loss and operating temperature significantly. In order to improve the device performance, this study analyses the loss distribution and variation law of EMVT under different service conditions. First, the flux density is obtained by the 3D finite element simulation. In combination with the valve train dynamic Matlab/Simulink model, the copper loss and iron loss of EMVT under typical conditions are explored in detail. Then, the influence of the motion parameters (transition time) and condition parameters (gas pressure) on EMVT’s loss are calculated and analyzed significantly. In the end, the accuracy of the loss models and analysis results is verified by the experiment based on linear load simulator.

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