GOALI/Collaborative Research: A Control Oriented Charge Mixing and Hybrid Combustion Model for SI-HCCI Dual Mode Engines

GOALI/协作研究：SI-HCCI 双模发动机的面向控制的充气混合和混合燃烧模型

• 批准号: 1030380
• 负责人: Zongxuan Sun
• 金额: $ 20.47万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1030380&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; Control; Oriented

The research objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) Collaborative Research project is to develop accurate yet tractable dynamic models for SI (Spark Ignited) and HCCI (Homogeneous Charge Compression Ignition) dual mode engines to enable model-based real-time control and optimization of this novel and efficient internal combustion engine. Specifically, we propose a novel SI-HCCI hybrid combustion model that incorporates both SI and HCCI combustions and a new charge mixing model to capture the fluid dynamics and chemical composition of the engine. These two models will be integrated with a feedback structure, that is, the output of the charge mixing model is the input to the hybrid combustion model and the output of the combustion model is fed back to the charge mixing model. The research will enable the real-time model-based control and optimization of SI-HCCI dual mode engines, which is critical for future clean and efficient automotive propulsion systems. This engine technology will significantly reduce the national oil consumption of both personal and commercial transportations. It will also reduce harmful emissions and mitigate the impact on climate change. This project's approach for developing and validating the hybrid SI-HCCI model can be applied to other type of engines and dynamic systems, where the phenomenological or computational models are not suitable.

这项学术与工业联络资助机会 (GOALI) 合作研究项目的研究目标是为 SI（火花点火）和 HCCI（均质充量压缩点火）双模发动机开发准确且易于处理的动态模型，以实现基于模型的实时这种新颖高效的内燃机的时间控制和优化。具体来说，我们提出了一种新颖的 SI-HCCI 混合燃烧模型，该模型结合了 SI 和 HCCI 燃烧以及新的充气混合模型来捕获发动机的流体动力学和化学成分。这两个模型将通过反馈结构进行集成，即充量混合模型的输出作为混合燃烧模型的输入，燃烧模型的输出反馈到充量混合模型。该研究将实现SI-HCCI双模发动机基于模型的实时控制和优化，这对于未来清洁高效的汽车推进系统至关重要。该发动机技术将显着降低个人和商业运输的国家石油消耗。它还将减少有害排放并减轻对气候变化的影响。该项目用于开发和验证混合 SI-HCCI 模型的方法可以应用于现象学或计算模型不适合的其他类型的发动机和动态系统。