A System Dynamics Modeling Methodology to Predict Transient Phenomena in Compressible Fluid Flow Systems

预测可压缩流体流动系统中瞬态现象的系统动力学建模方法

• 批准号: 0928518
• 负责人: Giorgio Rizzoni
• 金额: $ 30.99万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0928518&HistoricalAwards=false
• 关键词: System; Dynamics; Modeling; Methodology; Predict

This proposal integrates expertise in system dynamics and control with expertise in fluid mechanics and engine modeling to develop a systematic approach to modeling transient phenomena in compressible fluid flow systems. Such a methodology does not exist today. The successful outcome of this project will be the ability to systematically carry out model order reduction for distributed parameter systems that describe the flow of compressible fluids, in analogy with existing methods available, for example, for mechanical systems. The ability to develop physically consistent lumped-parameter models of compressible flow systems will enable improvements in the control of energy conversion systems such as internal combustion engines, turbomachinery, fuel cell systems, HVAC and refrigeration systems, leading to better performance, reduced costs and reduced environmental impact. The automotive industry is striving to improve engine fuel economy and to reduce their emissions in view of increasingly stringent government mandates and market demand for vehicles with near-zero exhaust emissions and significantly improved fuel economy. It is well understood that such gains can only be achieved if improvements in engine design can be matched by the ability to closely control engine efficiency and emissions. The present project will lead to better fuel economy and emissions control, but will also significant shorten the development of new, more efficient and cleaner engines. Today, this process is very much ad-hoc and it requires significant amounts of experimental calibration. The outcome of the proposed project is a systematic and widely applicable methodology that will shorten development time and that will lead to robust engine control designs that will also be easily portable among engine platforms.The project involves significant participation of Honor undergraduate students from under-represented groups, and an international collaboration with the University of Stuttgart, Germany.

该建议将系统动力学和控制方面的专业知识与流体力学和发动机建模方面的专业知识相结合，以开发一种系统的方法来模拟可压缩流体流动系统中的瞬态现象。 今天不存在这样的方法。该项目的成功成果将是能够系统地进行模型降阶的分布参数系统，描述可压缩流体的流动，在类比现有的方法，例如，机械系统。 开发物理上一致的可压缩流动系统的集总参数模型的能力将能够改进能量转换系统的控制，例如内燃机、涡轮机、燃料电池系统、HVAC和制冷系统，从而提高性能、降低成本并减少对环境的影响。鉴于对具有接近零废气排放和显著改善的燃料经济性的车辆的日益严格的政府要求和市场需求，汽车工业正在努力改善发动机燃料经济性并减少其排放。众所周知，只有在发动机设计的改进能够与密切控制发动机效率和排放的能力相匹配的情况下，才能实现这种增益。目前的项目将导致更好的燃油经济性和排放控制，但也将大大缩短新的，更高效和更清洁的发动机的开发。今天，这个过程是非常特别的，它需要大量的实验校准。 建议项目的成果是一个系统的和广泛适用的方法，将缩短开发时间，这将导致强大的发动机控制设计，也将很容易在发动机平台之间移植。该项目涉及重要的参与荣誉本科生从代表性不足的群体，并与斯图加特大学，德国的国际合作。