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A Non-Linear Regression Technique to Estimate from Vibrational Engine Data the Instantaneous In-Cylinder Pressure Peak and Related Angular Position

机译:一种从振动发动机数据估计的非线性回归技术瞬时缸内压力峰值和相关角位置

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In this paper, a downsized twin-cylinder turbocharged spark-ignition engine is experimentally investigated at test-bench in order to verify the potential to estimate the peak pressure value and the related crank angle position, based on vibrational data acquired by an accelerometer sensor. Purpose of the activity is to provide the ECU of additional information to establish a closed-loop control of the spark timing, on a cycle-by-cycle basis. In this way, an optimal combustion phasing can be more properly accomplished in each engine operating condition. Engine behavior is firstly characterized in terms of average thermodynamic and performance parameters and cycle-by-cycle variations (CCVs) at high-load operation. In particular, both a spark advance and an A/F ratio sweep are actuated. In-cylinder pressure data are acquired by pressure sensors flush-mounted within the combustion chamber of both cylinders. The Coefficient of Variation of the net Indicated Mean Effective Pressure (CoVIMEP) and of in-cylinder peak pressure (CoVp,max) are utilized to quantify the cyclic dispersion and identify its dependency on combustion phasing and duration. Vibrational data are provided by a non-intrusive accelerometer sensor located on the head of cylinder #1. In particular, a proper processing of the accelerometer signal is applied to build correlations able to estimate with a relevant accuracy the cycle-by-cycle scattering of the crank angle position and amplitude of the in-cylinder pressure peak, as well as the related CoV. A maximum in-cylinder pressure error below 2 bar and a maximum crank angle error below 1 degree was obtained in most of data points.
机译:在本文中,在试验台上进行实验研究了缩小的双缸涡轮增压火花点火发动机,以验证基于由加速度计传感器获取的振动数据估计峰值压力值和相关曲柄角位置的电位。活动的目的是提供附加信息的ECU,以在逐个循环的基础上建立火花正时的闭环控制。以这种方式,在每个发动机操作条件下可以更适当地完成最佳燃烧相位。首先在高负载操作中首先以平均热力学和性能参数和周期循环变化(CCV)为特征的特征。特别地,启动Spark提前和A / F比率扫描。缸内压力数据由压力传感器齐平地安装在两个汽缸的燃烧室内。利用净指示的平均有效压力(CoVImep)和缸内峰值压力(CoVP,Max)的变化系数来量化循环分散并识别其对燃烧相位和持续时间的依赖性。振动数据由位于圆柱体头部的非侵入式加速度计传感器提供。特别地,应用加速度计信号的适当处理以构建能够以相关的精度估计的相关性,逐个曲柄角位置和缸内压力峰的振幅以及相关的COV的逐个循环散射。 。在大多数数据点中获得了低于2巴以下的最大缸内压力误差和低于1度以下的最大曲柄角误差。

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