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On the Use of System Simulation to Explore the Potential of Innovative Combustion Systems: Methodology and Application to Highly Downsized SI Engines Running with Ethanol-Gasoline Blends

机译:关于使用系统仿真探索创新燃烧系统的潜力:用乙醇 - 汽油混合物运行高度缩小的Si发动机的方法论和应用

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In order to meet the CO_2 challenge, today a wide variety of solutions are developed in the automotive industry such as advanced technologies (downsizing, VVA, VCR), new combustion modes (HCCI, stratified and lean combustion), hybridization, electrification or alternative fuels. Furthermore, couplings between these solutions can be envisaged, increasing considerably the number of degrees of freedom which have to be accounted for in the development of future powertrains. Consequently, for time and cost reasons, it is not obvious to evaluate and optimize the full potential of new concepts only by the mean of experimental investigation. In this context, system simulation appears as a powerful and relevant complement to engine tests for its flexibility and its high CPU-efficiency. This paper focuses on the development of a methodology combining both simulation and experimental tools to quantify the interest of innovative solutions in the very first steps of their development. Here, this methodology is applied for the estimation of the gains offered by a highly downsized DI SI engine dedicated to ethanol-gasoline blends. For this purpose, experimental results from a supercharged SI single cylinder engine are used to calibrate a OD engine model. This model is based on a physical approach, called CFM1D, allowing to well represent the engine behavior in terms of heat release, knock and emissions over a large range of operating conditions. It is also investigated that engine settings can be predicted by the combustion model when increasing the amount of ethanol in the fuel, thanks to experimental data available for blend ratios up to 20%. The single cylinder model is then used to optimize the reference gasoline configuration for two blends (E20 and E85) in terms of compression ratio and settings (spark advance, fuel air ratio...), taking into account realistic multi-cylinder constraints (maximum cylinder pressure, exhaust temperature, knock intensity, boost level). Simulation results are finally directly exploited to build maps of efficiency and emissions used by a global engine model embedded in a vehicle simulator. This model allows to simulate different driving cycles and to estimate CO_2 gains obtained by the use of ethanol combined with an increase of the compression ratio in highly downsized SI engines. Then, it is shown the interest of using system simulation with advance combustion models and methodologies to explore the potential of new solutions in the very first steps of the conception process.
机译:为了满足CO_2挑战,今天在汽车工业中开发了各种各样的解决方案,如先进技术(缩小,VVA,VCR),新型燃烧模式(HCCI,分层和贫燃烧),杂交,电气化或替代燃料。此外,可以设想这些解决方案之间的联轴器,增加了必须考虑在未来发电机的发展中的自由度的次数。因此,对于时间和成本的原因,仅通过实验研究的平均值来评估和优化新概念的全部潜力并不明显。在这种情况下,系统仿真显示为发动机测试的强大和相关的补充,以实现其灵活性及其高CPU效率。本文重点介绍了组合模拟和实验工具的方法的开发,以量化创新解决方案的兴趣在其发展的第一步中。这里,该方法用于估计专用于乙醇 - 汽油共混物的高度缩小的DI Si发动机提供的增益。为此目的,来自增压的Si单缸发动机的实验结果用于校准OD发动机模型。该模型基于称为CFM1D的物理方法,允许在大量操作条件范围内的热释放,敲击和排放方面允许很好地代表发动机行为。还调查了发动机设置,当燃料中的乙醇量增加燃料量时,可以通过可用于混合比率最高20%的实验数据来预测发动机设置。然后使用单个汽缸模型在压缩比和设置(火花提前,燃料空气比例......)中优化两个共混物(E20和E85)的参考汽油配置,考虑到现实的多缸约束(最大值气缸压力,排气温度,爆震强度,升压水平)。仿真结果终于利用嵌入车辆模拟器嵌入的全球发动机模型使用的效率和排放地图。该模型允许模拟不同的驱动循环,并估计通过使用乙醇而获得的CO_2增益结合在高度缩小的SI发动机中的压缩比的增加。然后,示出了利用预先燃烧模型和方法的利用系统模拟,以探索概念过程的第一步中的新解决方案的潜力。

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