Simulation of Engine Cooling System Based on AMESim

Gu, Ning; Ni, Jimin

doi:10.1109/icic.2009.339

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Cited by 8 publications

(2 citation statements)

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“…As the design concept of fuel vehicle engine tends to be compact and the power is as high as possible, the heat flux density generated by the engine also increase significantly [1]. However, it is impossible to strengthen indefinitely for such a machine.…”

Section: Introductionmentioning

confidence: 99%

Simulation analysis of influencing factors on vehicle engine cooling system

Yuan,

Li,

Gong

et al. 2023

Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023)

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Section: Introductionmentioning

confidence: 99%

Simulation analysis of influencing factors on vehicle engine cooling system

Yuan,

Li,

Gong

et al. 2023

Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023)

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“…Yu, et al [7,15] adopted AMESim to build a fuel metering device of aeroengines, and the effect of the main design parameters of the metering device on the fuel metering characteristics was analyzed. Gu [16] built an engine cooling system based on AMESim to simulate the steady heater transfer and flow of engine cooling systems. A single spool gas was built using Modelica, which verified the validity of model [17].…”

Section: Introductionmentioning

confidence: 99%

FMI-Based Multi-Domain Simulation for an Aero-Engine Control System

et al. 2021

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The simulation of an aero-engine control system involves numerous disciplines due to its complex functions and architecture, which generally consist of mechanical, hydraulic and electrical, and electronic systems. For each discipline, the modeling and simulation are usually dependent on different commercial software and tools, which makes the simulation, integration, and verification of system-level models very difficult. To meet this challenge, a multi-domain co-simulation method based on the Functional Mock-up Interface (FMI) standard is proposed to integrate models developed by different software or tools. The simulation and testing results demonstrate that multi-disciplinary model integration and cross-platform simulation based on the FMI standard can be realized for an aero-engine control system, which lays a foundation for high-fidelity control system design, simulation, integration, and testing.

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