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Development of a virtual calibration methodology for a downsized SI engine by using advanced valve strategies

机译:使用高级阀策略开发专用SI发动机的虚拟校准方法

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The calibration phase of a new engine at test bench is an expensive and time-consuming process. To support the engine development process, in this paper a numerical methodology aiming to define the optimal control parameters is proposed for a downsized VVA SI engine. First, a 1D engine model is build-up in GT-Power and is enhanced with phenomenological submodels. 1D model is then validated against the experimental findings, at high- and part-load operations. In a second stage, a numerical calibration strategy is defined, to automatically identify, for various engine loads/speeds, the control parameters, ensuring optimal performance and complying with proper system limitations. Complete engine maps are computed for different control strategies (EIVC and Throttled). An application example is also presented, where computed maps are embedded in a vehicle model to predict the CO2 emission produced along a NEDC cycle.
机译:测试台上的新发动机的校准阶段是一种昂贵且耗时的过程。为了支持发动机开发过程,本文提出了一种用于缩小VVA SI发动机的旨在定义最佳控制参数的数值方法。首先,1D发动机模型以GT功率构建,并用现象学亚模型增强。然后在高和部分负荷操作中验证了1D模型,并验证了实验结果。在第二阶段,定义了数值校准策略,以自动识别各种发动机负载/速度,控制参数,确保最佳性能并遵守适当的系统限制。为不同的控制策略(EIVC和盗贼)计算完整的发动机地图。还呈现了一个应用示例,其中计算的地图嵌入在车辆模型中以预测沿着NEDC循环产生的CO2发射。

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