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Zero-Dimensional Heat Release Modeling Framework for Gasoline Compression-Ignition Engines with Multiple Injection Events

机译:具有多次注射事件的汽油压缩 - 点火发动机的零维热释放建模框架

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A zero-dimensional heat release model was developed for compression ignition engines. This type of model can be utilized for parametric studies, off-line optimization to reduce experimental efforts as well as model-based control strategies. In this particular case, the combustion model, in a simpler form, will be used in future efforts to control the combustion in compression ignition engines operating on gasoline-like fuels. To allow for a realistic representation of the in-cylinder combustion process, a spray model has been employed to allow for the quantification of fuel distribution as well as turbulent kinetic energy within the injection spray. The combustion model framework is capable of reflecting premixed as well as mixing controlled combustion. Fuel is assigned to various combustion events based on the air-fuel mixture within the spray. The mixing controlled combustion consists of two separate combustion events; one occurring within the fuel spray, which is characterized by rich fuel mixtures with a substantial level of turbulent kinetic energy and high combustion rates; the other one describes moderate combustion rates of lean fuel mixtures with less turbulent kinetic energy. Model constants were calibrated against experimental data from a 12.4L heavy-duty compression ignition engine operated on gasoline for various sweeps at 14bar BMEP and mostly at an engine speed of 1038rpm. A maximum prediction error in combustion phasing of 1.3CAD was found across the 30 calibrated sample points.
机译:为压缩点火发动机开发了零维热释放模型。这种类型的模型可用于参数研究,离线优化,以降低实验努力以及基于模型的控制策略。在这种特殊情况下,以更简单的形式的燃烧模型将用于将来努力控制在汽油状燃料上操作的压缩点火发动机中的燃烧。为了允许缸内燃烧过程的现实表示,已经采用喷射模型来允许在注射喷雾中定量燃料分配以及湍流动能。燃烧模型框架能够反射预混合以及混合控制燃烧。燃料基于喷雾内的空气燃料混合物分配给各种燃烧事件。混合控制燃烧由两个单独的燃烧事件组成;在燃料喷雾内发生的,其特征在于具有丰富的燃料混合物,具有大量的湍流动能和高燃烧速率;另一个描述了具有较小湍流动能的贫燃料混合物的中等燃烧速率。模型常数针对来自在汽油上操作的12.4L重型压缩点火发动机的实验数据进行校准,用于在14bar BMEP下进行各种扫描,主要以1038rpm的发动机速度。在30校准的样品点发现1.3CAD的最大预测误差为1.3CAD。

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