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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:方法和在乙醇汽油混合燃料运行的高度小型SI发动机上的应用

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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:为了应对CO_2的挑战,当今汽车行业开发了多种解决方案,例如先进技术(小型化,VVA,VCR),新燃烧模式(HCCI,分层燃烧和稀薄燃烧),混合动力,电气化或替代燃料。 。此外,可以设想这些解决方案之间的耦合,从而大大增加了在未来动力总成的开发中必须考虑的自由度的数量。因此,由于时间和成本的原因,仅通过实验研究就无法评估和优化新概念的全部潜力。在这种情况下,由于其灵活性和高CPU效率,系统仿真似乎是对引擎测试的强大而相关的补充。本文着重于开发一种结合了仿真和实验工具的方法,以量化创新解决方案在开发的最初阶段的兴趣。在这里,这种方法学被用于估算乙醇和汽油混合物专用的高度小型化的DI SI发动机所提供的增益。为此,将增压的SI单缸发动机的实验结果用于校准OD发动机模型。该模型基于一种称为CFM1D的物理方法,可以很好地表示发动机在大范围工作条件下的热释放,爆震和排放行为。还研究到,由于可获得高达20%的混合比的实验数据,当增加燃料中乙醇的含量时,可以通过燃烧模型预测发动机的设置。然后,考虑到实际的多缸约束(最大),在压缩比和设置(火花提前,燃料空气比...)方面,使用单缸模型优化两种混合气(E20和E85)的参考汽油配置。气缸压力,排气温度,爆震强度,升压水平)。最后直接利用仿真结果来构建效率和排放图,该图由嵌入在车辆模拟器中的全局引擎模型使用。该模型可以模拟不同的驾驶循环,并估算在高度缩小的SI发动机中通过使用乙醇结合压缩比的增加而获得的CO_2增益。然后,表明了使用带有先进燃烧模型和方法的系统仿真来探索在构思过程的最初步骤中新解决方案的潜力的兴趣。

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