scholarly journals Comparison of different chemical kinetic mechanisms of methane combustion in an internal combustion engine configuration

2008 ◽  
Vol 12 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Ridha Ennetta ◽  
Mohamed Hamdi ◽  
Rachid Said
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Methane Combustion ◽  
Internal Combustion ◽  
Chemical Kinetic ◽  
Pollutant Emissions ◽  
Engine Model ◽  
Kinetic Mechanisms ◽  
Global Reaction ◽  
Step Mechanism

Three chemical kinetic mechanisms of methane combustion were tested and compared using the internal combustion engine model of Chemkin 4.02 [1]: one-step global reaction mechanism, four-step mechanism, and the standard detailed scheme GRIMECH 3.0. This study shows good concordances, especially between the four-step and the detailed mechanisms in the prediction of temperature and main species profiles. But reduced schemes were incapables to predict pollutant emissions in an internal combustion engine. The four-step mechanism can only predict CO emissions but without good agreement.

Assessment of Cycle Averaged Turbocharger Maps Through One Dimensional and Mean-Line Coupled Codes

2013 ◽  
Author(s):  
Meng Soon Chiong ◽  
Srithar Rajoo ◽  
Aaron W. Costall ◽  
Wan Saiful-Islam Bin Wan Salim ◽  
Alessandro Romagnoli ◽  
...  
Keyword(s):  
Internal Combustion Engine ◽  
Performance Prediction ◽  
Combustion Engine ◽  
Engine Performance ◽  
Internal Combustion ◽  
Development Stage ◽  
Pollutant Emissions ◽  
One Dimensional ◽  
Engine Model ◽  
Industry Practice

Downsizing the internal combustion engine has been shown to be an effective strategy towards CO2 emissions reduction, and downsized engines look set to dominate automotive powertrains for years to come. Turbocharging has been one of the key elements in the success of downsized internal combustion engine systems. The process of engine-turbocharger matching during the development stage plays a significant role towards achieving the best possible system performance, in terms of minimizing fuel consumption and pollutant emissions. In current industry practice, engine modeling in most cases does not consider the full unsteady analysis of the turbocharger turbine. Thus, turbocharged engine performance prediction is less comprehensive, particularly under transient load conditions. Commercial one-dimensional engine codes are capable of satisfactory engine performance predictions, but these typically assume the turbocharger turbine to be quasi-steady, hence the inability to fully resolve the pulsating flow performance. On the other hand, a one-dimensional gas dynamic turbine model is capable of simulating the pressure wave propagation in the model domain, thus serving as a powerful tool to analyze the unsteady performance. In addition, a mean-line model is able to compute the turbine power and efficiency through the conservation method and Euler’s Turbomachinery Equation. However, none of these modeling methods have been widely implemented into commercial one-dimensional engine codes thus far. The objective of this paper is to assess the possibility of numerically producing the steady equivalent cycle averaged turbocharger turbine maps, which could be used in commercial engine codes for performance prediction. The cycle-averaged maps are obtained using a comprehensive turbocharged engine model including accurate pulsating exhaust flow performance prediction. The model is validated against experimental results and effects of flow frequency on the maps are discussed in detail.

scholarly journals Model-based estimation of light-duty vehicle fuel economy at high altitude

2019 ◽  
Vol 11 (11) ◽  
pp. 168781401988625 ◽  
Author(s):  
Lijun Hao ◽  
Chunjie Wang ◽  
Hang Yin ◽  
Chunxiao Hao ◽  
Haohao Wang ◽  
...  
Keyword(s):  
Internal Combustion Engine ◽  
Fuel Consumption ◽  
Fuel Economy ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Specific Fuel Consumption ◽  
Brake Specific Fuel Consumption ◽  
Engine Model ◽  
Light Duty ◽  
Light Duty Vehicle

In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel economy model for a light-duty vehicle adopting backward simulation method was developed, and it mainly consists of vehicle dynamic model, internal combustion engine model, transmission model, and differential model. The internal combustion engine model consists of the brake-specific fuel consumption maps as functions of engine torque and engine speed, and the brake-specific fuel consumption map near sea level was constructed based on engine experimental data, and the brake-specific fuel consumption maps at high altitudes were calculated by GT-Power Modeling of the internal combustion engine. The fuel consumption rate was calculated from the brake-specific fuel consumption maps and brake power and used to calculate the fuel economy of the light-duty vehicle. The model predicted fuel consumption data met well with the test results, and the model prediction errors are within 5%.

Studies Regarding the Evolution of Pollutant Emissions Related to Certain Transitory Condition of an Internal Combustion Engine Using Mobile Measuring Systems

2016 ◽  
Vol 823 ◽  
pp. 303-308 ◽  
Author(s):  
Ilie Dumitru ◽  
Florin Colici ◽  
Alexandru Mihai Dima ◽  
Vladimir Mărdărescu
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Pollutant Emissions ◽  
Measuring Systems ◽  
Complex Assembly ◽  
Mechanical Parts ◽  
Electronic Part ◽  
And Control

The internal combustion engine that equips a vehicle is a complex assembly of mechanical parts and electronics that controls almost every system. The electronic part of the vehicle gives the opportunity to observe and control what happens with the engine during function. The present paper follows the evolution of the pollutant emissions in relation with some transitory regimes of the car.

A Learning Algorithm for Optimal Internal Combustion Engine Calibration in Real Time

2007 ◽  
Author(s):  
Andreas A. Malikopoulos ◽  
Panos Y. Papalambros ◽  
Dennis N. Assanis
Keyword(s):  
Internal Combustion Engine ◽  
Real Time ◽  
Fuel Economy ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Pollutant Emissions ◽  
Engine Operation ◽  
Engine Calibration

Advanced internal combustion engine technologies have increased the number of accessible variables of an engine and our ability to control them. The optimal values of these variables are designated during engine calibration by means of a static correlation between the controllable variables and the corresponding steady-state engine operating points. While the engine is running, these correlations are being interpolated to provide values of the controllable variables for each operating point. These values are controlled by the electronic control unit to achieve desirable engine performance, for example in fuel economy, pollutant emissions, and engine acceleration. The state-of-the-art engine calibration cannot guarantee continuously optimal engine operation for the entire operating domain, especially in transient cases encountered in driving styles of different drivers. This paper presents the theoretical basis and algorithmic implementation for allowing the engine to learn the optimal set values of accessible variables in real time while running a vehicle. Through this new approach, the engine progressively perceives the driver’s driving style and eventually learns to operate in a manner that optimizes specified performance indices. The effectiveness of the approach is demonstrated through simulation of a spark ignition engine, which learns to optimize fuel economy with respect to spark ignition timing, while it is running a vehicle.

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