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Analysis of the Performance of a Turbocharged S.I. Engine under Transient Operating Conditions by Means of Fast Running Models

机译:利用快速运行模型分析瞬态工况下涡轮增压S.I.发动机的性能

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摘要

The aim of this work is the assessment of the predictive capabilities of fast running models, obtained through an appropriate reduction and simplification process from detailed 1D fluid-dynamic models, for a turbocharged s.i. engine under highly transient operating conditions. Simulations results have been compared with experimental data for different types of models, ranging from fully detailed 1D fluid-dynamic models to map-based models, quantifying the degradation of the model accuracy and the reduction in the computational time for different kinds of driving cycles, from moderately transient such as the NEDC to highly dynamic such as the US06. Although the map based approach was confirmed to be be a viable means to predict fuel economy over the NEDC cycle, even for a downsized and turbocharged engine, thanks to the low accelerations involved and to the almost negligible transients effects, it showed significant discrepancies (error higher than 5%) with the experimental data when applied to highly dynamic driving cycles such as the US06. On the other hand, the use of fast running models was demonstrated to be a suitable solution to obtain a satisfactory accuracy in the estimate of the fuel consumption also over highly dynamic driving cycles, with differences between the simulation results and the measured values which were within the repeatability range of the experimental tests. Moreover, the reduced computational effort of the fast running models allowed to reach close to real-time simulation performance.
机译:这项工作的目的是评估快速运行模型的预测能力,该模型是通过适当的简化和简化过程从详细的一维流体动力学模型中获得的,用于涡轮增压发动机。发动机处于高度瞬态工况下。模拟结果已与不同类型模型的实验数据进行了比较,从完全详细的一维流体动力学模型到基于地图的模型,量化了模型精度的降低和不同驾驶周期的计算时间的减少,从NEDC之类的中等瞬变到US06之类的高动态。尽管基于图的方法已被证实是预测NEDC循环上燃油经济性的可行方法,即使对于小型且涡轮增压的发动机,由于所涉及的低加速度和几乎可以忽略的瞬变效应,它仍显示出明显的差异(误差(适用于US06等高动态驾驶周期)的实验数据。另一方面,已证明使用快速运行的模型是一种合适的解决方案,即使在高度动态的驾驶循环中,也能获得令人满意的燃油消耗估算准确性,并且仿真结果与测量值之间的差异在实验测试的可重复性范围。此外,快速运行的模型减少了计算量,可以达到接近实时的仿真性能。

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