A Mean-Value Model of Internal Combustion Engine Based on Variable Valve Phase Timing

2012 ◽  
Author(s):  
S. M. Navid Khatami ◽  
Olusegun J. Ilegbusi
Keyword(s):  
Gas Exchange ◽  
Phase Angle ◽  
Combustion Engine ◽  
Mean Value ◽  
Operating Conditions ◽  
Spark Ignition Engine ◽  
Wide Range ◽  
Mean Value Model ◽  
Variable Valve ◽  
Value Model

A simplified Mean-Value Model (MVM) is developed to represent spark ignition engine functions. The model is based on variable valve phase angle over a wide range of operating conditions. Gas exchange dynamics is simulated to determine the mass air flow into the cylinder. This flow is altered by variable valve phase mechanism. In this paper, phasing the exhaust and intake valves is considered equally (dual equal) and is equipped with hydraulics Continuous Variable Valve Timing (CVVT) mechanism. The model developed reflects these modifications and uses gas exchange dynamics to capture valve phase, manifold pressure, and engine rotating speed. The values of flow rates from this simplified mathematical model is compared and validated with engine-dynamometer experimental data. The results show strong agreement in a wide range of operating points while the variation of phase angle is limited to nominal values.

scholarly journals A MEAN VALUE MODEL FOR ESTIMATION OF LAMINAR AND TURBULENT FLAME SPEED IN SPARK-IGNITION ENGINE

2015 ◽  
Vol 11 ◽  
pp. 2224-2234 ◽  
Author(s):  
Ali Ghanaati ◽  
◽  
Intan Z. Mat Darus ◽  
Mohd Farid Muhamad Said ◽  
Amin Mahmoudzadeh Andwari ◽  
...  
Keyword(s):  
Turbulent Flame ◽  
Spark Ignition ◽  
Mean Value ◽  
Flame Speed ◽  
Spark Ignition Engine ◽  
Turbulent Flame Speed ◽  
Mean Value Model ◽  
Value Model

Optimal Control Strategy for a Pressure-Wave Supercharged SI Engine

2003 ◽  
Author(s):  
Peter Spring ◽  
Lino Guzzella ◽  
Christopher H. Onder
Keyword(s):  
Pressure Wave ◽  
Mean Value ◽  
Spark Ignition Engine ◽  
Exhaust Gas ◽  
Optimal Control Strategy ◽  
Engine Torque ◽  
Torque Response ◽  
Steady Rate ◽  
Mean Value Model ◽  
Value Model

On the basis of a control-oriented mean-value model of a spark-ignition engine supercharged with a pressure-wave supercharger, this paper introduces an operation strategy which minimizes the torque response time to driver commands. Since in pressure-wave superchargers fresh air and exhaust gas are in direct contact in the cell wheel, unwanted and excessive exhaust gas recirculation over the pressure-wave supercharger has to be limited by appropriate control actions. The most critical situation arises when large amounts of exhaust gas are recirculated during a hard acceleration, which causes the engine torque to drop sharply and thus to severely affect driveability. In order to prevent such situations, a set of actuators (throttles, valves, etc.) has to be controlled in a coordinated way. Conventional strategies cause the actuators to be closed at a fairly slow, steady rate. Our investigations show that driveability can be improved with a somewhat more complex strategy.

Performance and Emissions Characteristics Investigation of a Bi-Fuel SI Engine Fuelled by CNG and Gasoline

2006 ◽  
Author(s):  
Abazar Shamekhi ◽  
Nima Khatibzadeh ◽  
Amir H. Shamekhi
Keyword(s):  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Engine Performance ◽  
Internal Combustion ◽  
Operating Conditions ◽  
Spark Ignition Engine ◽  
Engine Fuel ◽  
Wide Range ◽  
Performance And Emissions ◽  
Pollutant Sources

Nowadays, increased attention has been focused on internal combustion engine fuels. Regarding environmental effects of internal combustion engines particularly as pollutant sources and depletion of fossil fuel resources, compressed natural gas (CNG) has been introduced as an effective alternative to gasoline and diesel fuel in many applications. A high research octane number allows combustion at higher compression ratios without knocking and good emission characteristics of HC and CO are major benefits of CNG as an engine fuel. In this paper, CNG as an alternative fuel in a spark ignition engine has been considered. Engine performance and exhaust emissions have been experimentally studied for CNG and gasoline in a wide range of the engine operating conditions.

Control-Oriented Mean-Value Model of a Fuel-Flexible Turbocharged Spark Ignition Engine

2010 ◽  
Author(s):  
Thomas Coppin ◽  
Olivier Grondin ◽  
Guenael Le Solliec ◽  
Laurent Rambault ◽  
Nezha Maamri
Keyword(s):  
Spark Ignition ◽  
Mean Value ◽  
Spark Ignition Engine ◽  
Mean Value Model ◽  
Value Model

Thermodynamics-Based Mean Value Model for Diesel Combustion

2013 ◽  
Vol 135 (9) ◽  
Author(s):  
Byungchan Lee ◽  
Dohoy Jung ◽  
Yong-Wha Kim ◽  
Michiel van Nieuwstadt
Keyword(s):  
Combustion Process ◽  
Mean Value ◽  
Ideal Gas ◽  
Operating Conditions ◽  
Strategy Development ◽  
Diesel Combustion ◽  
Engine Model ◽  
Exhaust Temperature ◽  
Mean Value Model ◽  
Value Model

A thermodynamics-based computationally efficient mean value engine model that computes ignition delay, combustion phases, exhaust temperature, and indicated mean effective pressure has been developed for the use of control strategy development. The model is derived from the thermodynamic principles of ideal gas standard limited pressure cycle. In order to improve the fidelity of the model, assumptions that are typically used to idealize the cycle are modified or replaced with ones that more realistically replicate the physical process such as exhaust valve timing, in-cylinder heat transfer, and the combustion characteristics that change under varying engine operating conditions. The model is calibrated and validated with the test data from a Ford 6.7 liter diesel engine. The mean value model developed in this study is a flexible simulation tool that provides excellent computational efficiency without sacrificing critical details of the underlying physics of the diesel combustion process.

Experimental Data Processing Techniques to Map the Performance of a Spark Ignition Engine

1995 ◽  
Vol 209 (4) ◽  
pp. 297-306 ◽  
Author(s):  
S P Stevens ◽  
P J Shayler ◽  
T H Ma
Keyword(s):  
Data Processing ◽  
Combustion Engine ◽  
Operating Conditions ◽  
Spark Ignition Engine ◽  
Valuable Insight ◽  
State Variables ◽  
Post Processing ◽  
Experimental Data Processing ◽  
Wide Range ◽  
Processing Techniques

Mapping the performance of an internal combustion engine over a wide range of operating conditions is a common procedure during development. The generation and post-processing of the data are high-cost activities. Two approaches which offer advantages over parametric test plans have been investigated. A statistically designed matrix of tests has been employed to map engine stability and combustion performance parameters. This approach minimizes the number of tests required and post-processing techniques provide valuable insight to relationships which exist between variables. This is particularly useful and efficient when qualitative trends are of prime interest. When large data sets are necessarily acquired and quantitative relationships between variables are of particular concern, then data processing using neural networks is shown to be an effective approach. The use of this technique is illustrated by application to evaluate relationships between engine-out emissions and engine state variables.

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