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A model based methodology for knock prediction in SI engines

机译：SI发动机爆震预测的基于模型的方法

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In spark-ignition engines, knock control represents one of the most critical issue to reach optimal thermal efficiency. The paper deals with the development of a methodology aimed at evaluating the most suited spark advance to achieve the right compromise between performance optimization and knocking occurrence (KLSA). The methodology is based on combustion simulation via a two-zone 0D model in which the cycle-by-cycle variation (CCV) is described by a model parameter that impacts on the turbulence level at inlet valve closing. The auto-ignition of the unburnt mixture is described by a thermodynamic equation derived from literature while knock intensity is evaluated by a stochastic approach. The method allows evaluating the percentage of knocking cycles, depending on the spark advance actuated. The validation has been carried out vs. experimental data collected at the engine test rig on a 4 cylinders turbocharged GDI engine, by comparing predicted and experimental MAPO.
机译：在火花点火发动机中，爆震控制是实现最佳热效率的最关键问题之一。本文着眼于一种方法的开发，该方法旨在评估最合适的火花提前量，从而在性能优化和爆震发生（KLSA）之间取得正确的折衷。该方法基于通过两区域0D模型进行的燃烧模拟，其中通过影响进气门关闭时湍流水平的模型参数来描述逐周期变化（CCV）。未燃烧混合物的自燃由文献中的热力学方程式描述，而爆震强度通过随机方法评估。该方法允许评估爆震循环的百分比，具体取决于启动的火花提前。通过比较预测的和实验的MAPO，已经相对于在4缸涡轮增压GDI发动机的发动机测试台上收集的实验数据进行了验证。

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