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Knock and Cycle by Cycle Analysis of a High Performance V12 Spark Ignition Engine. Part 1: Experimental Data and Correlations Assessment

机译:高性能V12火花点火发动机的逐周期分析。第1部分:实验数据和相关性评估

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摘要

In this paper, a high performance V12 spark-ignition engine is experimentally investigated at test-bench in order to fully characterize its behavior in terms of both average parameters, cycle-by-cycle variations and knock tendency, for different operating conditions. In particular, for each considered operating point, a spark advance sweep is actuated, starting from a knock-free calibration, up to intense knock operation. Sequences of 300 consecutive pressure cycles are measured for each cylinder, together with the main overall engine performance, including fuel flow, torque, and fuel consumption. Acquired data are statistically analyzed to derive the distributions of main indicated parameters, in order to find proper correlations with ensemble-averaged quantities. In particular, the Coefficient of Variation (CoV) of IMEP and of the in-cylinder peak pressure (p_(max)) are correlated to the average combustion phasing and duration (MFB_(50) and Δθ_b), with a good coefficient of determination. In addition, a high-pass-filtering technique is used to derive the cycle-by-cycle scattering of the Maximum Amplitude of Pressure Oscillation (MAPO) index. A similar statistical analysis is carried out to derive the log-normal distributions of the MAPO index and a methodology to asses a proper knock threshold is applied to identify the presence of knocking combustion. The above data represent the prerequisites for the implementation and validation of an advanced 1D model, described in Part 2, taking into account cycle-by-cycle variations, and finally aiming to identify the knock-limited spark advance on a completely theoretical basis.
机译:在本文中,在试验台上对高性能V12火花点火发动机进行了实验研究,以便针对不同的工况,通过平均参数,逐周期变化和爆震趋势来全面表征其性能。尤其是,对于每个考虑的工作点,从无爆震校准到强烈爆震运行,都会启动火花提前扫描。测量每个气缸300个连续压力循环的顺序,以及主要的总体发动机性能,包括燃油流量,扭矩和燃油消耗。对获得的数据进行统计分析以得出主要指示参数的分布,以便找到与总体平均数量的适当相关性。特别是,IMEP和缸内峰值压力(p_(max))的变化系数(CoV)与平均燃烧定相和持续时间(MFB_(50)和Δθ_b)相关,具有良好的确定系数。另外,高通滤波技术用于推导最大压力振荡幅度(MAPO)指数的逐周期散射。进行了类似的统计分析,以得出MAPO指数的对数正态分布,并采用了一种评估适当爆震阈值的方法来识别爆燃的存在。以上数据代表了第2部分中描述的高级1D模型的实现和验证的先决条件,其中考虑了逐周期变化,最终旨在在完全理论上确定爆震限制的火花提前量。

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