This paper is an extension of the authors’ previous work by including comprehensive component models for the 1D flow. In an effort to develop a MATLAB/Simulink-based engine modeling and simulation framework, a high-fidelity 1D physics-based engine simulation model has been developed by the authors based on the work of Blair. However, most of the current 1D physics-based engine simulation models are not compatible to or directly implemented in today’s predominant MATLAB/Simulink environment.
Combustion 4 software software#
Therefore, multidimensional CFD models cannot be efficiently applied to simulating multiple engine cycles.Īs a compromise between simulation accuracy and computational time, a reduced dimension modeling approach (1D manifold flow and 0D cylinder) is used in many commercial software packages. However, this highly predictive approach comes at the cost of long simulation time. Multidimensional CFD models require detailed geometric parameters, which in turn provide detailed performance information. As the opposite extremum, multidimensional Computational Fluid Dynamics (CFD) can be employed to simulate engine flow and combustion. Because such models require little physical detail, some of the parameters must be derived from experimental testing, and some characteristics of the engine performance cannot be accurately determined.
While simple lookup table-based models rely on extensive test data, mean-value models combine the overall effect of engine flow and combustion phenomena. With the steady advancement in the related technology and available computing power, the impact of engine simulation will increase as well.ĭepending on the desired accuracy and model complexity, engine models can be classified into several different categories: lookup table-based, mean-value, 1D physics-based, and 3D CFD models. Using the simulation result, designs can be optimized for fuel economy, power, and emissions without collecting extensive experimental data. Engine simulation allows designers to predict performance gains resulting from changes in engine geometries or control strategies. Among many areas that have benefitted from numerical simulation, engine and drivetrain simulation has received a great deal of attention.
Simulation-based system design, optimization, and controller development have been an integral part of automotive research. Then, the gas dynamics model is validated with commercial engine simulation software by conducting a simple 1D flow simulation.
Combustion 4 software series#
In this Part 1 of series papers, a comprehensive gas dynamics model is presented and integrated in the engine modeling framework based on MATLAB/Simulink. Each component block, derived from physical laws, interacts with other blocks according to block connection.
The framework allows engine component blocks to be connected in a physically representative manner in the Simulink environment, reducing model build time. To leverage MATLAB/Simulink’s capabilities, a Simulink-based 1D flow engine modeling framework has been developed. Among the simulation software packages currently available, MATLAB/Simulink is widely used for automotive system simulations, but does not contain a comprehensive engine modeling toolbox. With advancements in computer-aided design, simulation of internal combustion engines has become a vital tool for product development and design innovation.