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A simple algebraic model for predicting HCCI auto-ignition timing according to control oriented models requirements

机译:根据面向控制的模型要求预测HCCI自动点火正时的简单代数模型

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摘要

The major challenge in Homogeneous Charge Compression Ignition (HCCI) combustion is the difficulty to control auto-ignition timing. It has been shown that HCCI combustion is governed by chemical kinetics; therefore it is highly dependent on fuel/air mixture properties. Auto-ignition timing or Start of Combustion (SOC) is usually characterized by the crank angle where 5% of fuel is consumed. Understanding the effect of charge properties on SOC is essential to establish a model with the capability of predicting the auto-ignition timing. Despite the extensive work done on control-oriented modeling of HCCI ignition timing, there is still a need to improved real-time models with easily measured inputs considering engine working conditions. The purpose of this paper is to introduce a real-time model for predicting HCCI auto-ignition timing. Thus a new correlation similar to Mean Value Method (MVM) equations has been introduced. This correlation named as Simple Algebraic Model (SAM) is based in the effects of inlet parameters on SOC. SAM has been employed to reduce runtime in control-oriented models such as Modified Knock Integral Model (MION). Results show the acceptable accuracy in prediction of SOC for control applications and noticeable increase in calculation speed in contrast with MKIM.
机译:均质充气压缩点火(HCCI)燃烧的主要挑战是难以控制自动点火正时。研究表明,HCCI燃烧受化学动力学控制。因此,它高度依赖于燃料/空气混合物的特性。自动点火正时或燃烧开始(SOC)通常以曲柄角为特征,其中消耗了5%的燃料。了解充电特性对SOC的影响对于建立具有预测自动点火正时能力的模型至关重要。尽管在HCCI点火正时的面向控制的建模方面进行了大量工作,但仍需要改进改进的实时模型,其中要考虑发动机的工作条件,以易于测量的输入为准。本文的目的是介绍一种用于预测HCCI自动点火正时的实时模型。因此,已经引入了类似于均值方法(MVM)方程的新的相关性。这种名为简单代数模型(SAM)的相关性基于入口参数对SOC的影响。 SAM已被用来减少面向控制的模型(如改进的敲击积分模型(MION))中的运行时间。结果表明,与MKIM相比,用于控制应用的SOC预测具有可接受的准确性,并且计算速度显着提高。

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