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.

这项与工业联络人（Goali）协作研究项目的赠款机会的研究目标是为SI（Spark Ignited）和HCCI（同质电荷压缩点火）二重模式引擎开发准确但可拖动的动态模型，以启用基于模型的实时控制和对这款小说和高效的内燃机的优化。具体而言，我们提出了一种新型的Si-HCCI混合燃烧模型，该模型既结合了SI和HCCI燃烧，又结合了新的电荷混合模型，以捕获发动机的流体动力学和化学组成。这两个模型将与反馈结构集成在一起，即电荷混合模型的输出是混合燃烧模型的输入，并且燃烧模型的输出被馈回电荷混合模型。这项研究将使基于实时模型的Si-HCCI二元模式引擎能够进行实时模型的控制和优化，这对于未来清洁有效的汽车推进系统至关重要。这种发动机技术将大大减少个人和商业运输的全国石油消费。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其他类型的发动机和动态系统，而现象学或计算模型不合适。