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CYLINDER-SPECIFIC COMBUSTION PHASING MODELING FOR A MULTIPLE- CYLINDER DIESEL ENGINE

机译:多缸柴油机特定汽缸的燃烧过程建模

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An optimal combustion phasing leads to a high combustion efficiency and low carbon emissions in diesel engines. With the increasing complexity of diesel engines, model-based control of combustion phasing is becoming indispensable, but precise prediction of combustion phasing is required for such strategies. Since cylinder-to-cylinder variations in combustion can be more significant with advanced combustion techniques, this work focuses on developing a control-oriented combustion phasing model that can be leveraged to provide cylinder-specific estimates. The pressure and temperature of the intake gas reaching each cylinder are predicted by a semi-empirical model and the coefficients of this intake pressure and temperature model are varied from cylinder-to-cylinder. A knock integral model is leveraged to estimate the SOC (start of combustion) and the burn duration is predicted as a function of EGR fraction, equivalence ratio of fuel and residual gas fraction in a burn duration model. After that, a Wiebe function is utilized to estimate CA50 (crank angle at 50% mass of fuel has burned). This cylinder-specific combustion phasing prediction model is calibrated and validated across a variety of operating conditions. A large range of EGR fraction and fuel equivalence ratio were tested in these simulations including EGR levels from 0 to 50%, and equivalence ratios from 0.5 to 0.9. The results show that the combustion phasing prediction model can estimate CA50 with an uncertainty of ±0.5 crank angle degree in all six cylinders. The impact of measurement errors on the accuracy of the prediction model is also discussed in this paper.
机译:最佳的燃烧定相导致柴油发动机的高燃烧效率和低碳排放。随着柴油发动机的复杂性增加,基于模型的燃烧定相控制变得必不可少,但是这种策略需要精确预测燃烧定相。由于采用先进的燃烧技术,缸与缸之间的燃烧变化可能更为显着,因此本工作着重于开发面向控制的燃烧定相模型,该模型可用于提供特定于缸的估计值。通过半经验模型预测到达每个气缸的进气的压力和温度,并且该进气压力和温度模型的系数随气缸的变化而变化。利用爆震积分模型来估计SOC(燃烧开始),并根据燃烧持续时间模型中的EGR分数,燃料和剩余气体分数的当量比来预测燃烧持续时间。之后,利用Wiebe函数估算CA50(燃料质量为50%时的曲柄角已燃烧)。该气缸特定的燃烧定相预测模型可在各种工况下进行校准和验证。在这些模拟中测试了大范围的EGR分数和燃料当量比,包括EGR水平从0%到50%,当量比从0.5到0.9。结果表明,燃烧定相预测模型可以在所有六个气缸中以±0.5曲轴角度的不确定性估算CA50。本文还讨论了测量误差对预测模型准确性的影响。

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