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首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Estimation of double-Wiebe function parameters using least square method for burn durations of ethanol-gasoline blends in spark ignition engine over variable compression ratios and EGR levels
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Estimation of double-Wiebe function parameters using least square method for burn durations of ethanol-gasoline blends in spark ignition engine over variable compression ratios and EGR levels

机译:在可变压缩比和EGR水平下,使用最小二乘法估算火花点火发动机中乙醇-汽油混合物的燃烧持续时间的双威伯函数参数

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摘要

Phasing and duration are two of the most important aspects of combustion in Spark Ignition (SI) engines. They impact efficiency, emissions, and overall engine performance. These aspects of combustion can be represented by the mass fraction burn (MFB) profile. Having an accurate mathematical model of the MFB profile leads to an ability to model the combustion process and, thus, properly model the overall engine in 1D engine simulation tools. The Wiebe function is widely used in engine simulation to estimate the MFB profile as a function of crankshaft position. In this work, for the purpose of validating a sub-process, the Wiebe function parameters were calculated using an analytical solution and a least squares method by fitting MFB locations, as determined from analysis of measured cylinder pressure, to both single and double-Wiebe functions. To determine the accuracy of the respective Wiebe function, a single-zone pressure model was applied to reconstruct the pressure trace. Once the pressure trace is recovered, the reconstructed pressure trace is then compared with the experimentally measured cylinder pressure trace. Results showed that the double-Wiebe function model fit better than the single-Wiebe function model. The root mean square error (RMSE) of the reconstructed pressure trace using the double-Wiebe estimation is 7.9 kPa. In comparison, the RMSEs of the reconstructed pressure traces using the single-Wiebe analytical solution and single-Wiebe least squares methods were 70.0 kPa and 75.9 kPa, respectively, demonstrating a significant improvement.
机译:相位和持续时间是火花点火(SI)发动机燃烧的两个最重要方面。它们影响效率,排放和发动机整体性能。燃烧的这些方面可以通过质量分数燃烧(MFB)曲线表示。拥有MFB轮廓的准确数学模型可以对燃烧过程进行建模,从而在1D引擎仿真工具中对整个引擎进行适当建模。 Wiebe函数广泛用于发动机仿真中,以根据曲轴位置来估计MFB轮廓。在这项工作中,为了验证子过程,使用解析解和最小二乘法通过将MFB位置(根据对测得的汽缸压力的分析确定)拟合到单Wiebe和双Wiebe来计算Wiebe函数参数。功能。为了确定各个Wiebe函数的准确性,应用了单区域压力模型来重建压力曲线。一旦恢复了压力迹线,便将重建的压力迹线与实验测量的气缸压力迹线进行比较。结果表明,双Wiebe函数模型比单Wiebe函数模型拟合得更好。使用double-Wiebe估计的重建压力迹线的均方根误差(RMSE)为7.9 kPa。相比之下,使用单Wiebe分析解决方案和单Wiebe最小二乘方法重建的压力迹线的均方根误差分别为70.0 kPa和75.9 kPa,这表明有显着改善。

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