Internal Combustion Engine Modeling Framework in Simulink: Gas Dynamics Modeling

Abstract

With advancements in computer-aided design, simulation of internal combustion engines has become a vital tool for product development and design innovation. 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. To leverage MATLAB/Simulink’s capabilities, a Simulink-based 1D flow engine modeling framework has been developed. The framework allows engine component blocks to be connected in a physically representative manner in the Simulink environment, reducing model build time. Each component block, derived from physical laws, interacts with other blocks according to block connection. 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. Then, the gas dynamics model is validated with commercial engine simulation software by conducting a simple 1D flow simulation.

Internal Combustion Engine Modeling Framework in Simulink: Combustion Modeling

“…Combining Eq. (17) and Eq. ( 19) and using the specific heat relationship c v,u + R u = c p,u , the rate of change of the unburned gas temperature T u becomes…”

“…To resolve this deficiency, a high-fidelity physics-based engine simulation modeling framework has been developed in MATLAB/Simulink recently [14][15][16]. Among the various components in the framework, modeling details of the 1D intake and exhaust flow dynamics were presented in a previous publication [17] based on the work of Blair [18]. As a continued effort, the detailed combustion modeling approach employed in the Simulink-based modeling framework is presented in this series paper.…”

Determination of gas parameters in resonant pipes and channels of engines with a periodic workflow using the piston analogy method

“…On the opposite side are 3D models (CFD), which are used for multidimensional modeling of flow and combustion in engines [6,17]. This approach is complex, requires signif-icant computational resources and long simulation times.…”