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Comparison of Engine Simulation Software for Development of Control System

机译:用于控制系统开发的发动机仿真软件的比较

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摘要

Most commonly used commercial engine simulation packages generate detailed estimation of the combustion and gas flow parameters. These parameters are required for advanced research on fluid flow and heat transfer and development of geometries of engine components. However, engine control involves different operating parameters. Various sensors are installed into the engine, the combustion performance is recorded, and data is sent to engine control unit (ECU). ECU computes the new set of parameters to make fine adjustments to actuators providing better engine performance. Such techniques include variable valve timing, variable ignition timing, variable air to fuel ratio, and variable compression ratio. In the present study, two of the commercial packages, Ricardo Wave and Lotus Engine Simulation, have been tested on the capabilities for engine control purposes. These packages are compared with an in-house developed package and with reference results available from the literature. Different numerical experiments have been carried out from which it can be concluded that all packages predict similar profiles of pressure and temperature in the engine cylinder. Moreover, those are in reasonable agreement with the reference results while in-house developed package is possible to run simulations with changing speed for engine control purpose.
机译:最常用的商用发动机仿真程序包会生成详细的燃烧和气流参数估计值。这些参数是对流体流动和传热进行高级研究以及开发发动机部件的几何形状所必需的。但是,发动机控制涉及不同的运行参数。各种传感器安装到发动机中,记录燃烧性能,并将数据发送到发动机控制单元(ECU)。 ECU计算出新的参数集,以对执行器进行微调,以提供更好的发动机性能。这些技术包括可变的气门正时,可变的点火正时,可变的空燃比和可变的压缩比。在本研究中,已经测试了两个商业软件包Ricardo Wave和Lotus Engine Simulation在用于引擎控制的功能上。将这些软件包与内部开发的软件包进行比较,并从文献中获得参考结果。已经进行了不同的数值实验,可以得出结论,所有的组件都预测发动机气缸中压力和温度的相似曲线。此外,这些与参考结果在合理的范围内,而内部开发的程序包则可以在不断变化的速度下进行仿真以用于发动机控制。

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  • 来源
    《Modelling and simulation in engineering》 |2013年第2013期|401643.1-401643.21|共21页
  • 作者单位

    School of Mechanical and Automotive Engineering,Faculty of Science, Engineering and Computing, Kingston University, Friars Avenue,Roehampton, London SW15 3DW, UK;

    School of Mechanical and Automotive Engineering,Faculty of Science, Engineering and Computing, Kingston University, Friars Avenue,Roehampton, London SW15 3DW, UK;

    School of Mechanical and Automotive Engineering,Faculty of Science, Engineering and Computing, Kingston University, Friars Avenue,Roehampton, London SW15 3DW, UK;

    School of Mechanical and Automotive Engineering,Faculty of Science, Engineering and Computing, Kingston University, Friars Avenue,Roehampton, London SW15 3DW, UK;

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