Tool for qualitative performance comparison of internal combustion engines components using optimized engine calibration and condition monitoring

使用优化的发动机校准和状态监测对内燃机部件进行定性性能比较的工具

• 批准号: 522411-2017
• 负责人: Habibi, Saeid
• 金额: $ 5.46万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=697642
• 关键词: Tool; qualitative; performance; comparison; internal

Modern Internal Combustion Engines (ICEs) rely on complex control systems and engine maps in order to achieve higher fuel efficiencies while meeting stringent regulatory emissions standards. Given the economies of scale of the automotive sector, manufacturers strive to improve their engine technologies and even very small improvements in performance are considered. To adopt a new technology, techniques that can discern a measurable difference in the engine's performance are required to quantify the potential benefits of new components. NanoSpark, a Canadian start-up company, has developed an innovative spark ignition system for use in ICEs, believed to have a performance benefit. McMaster has in turn developed a method that can provide a qualitative and a quantitative comparison of components for ICEs. Our proposed technique uses conventional engine mapping in conjunction with multi-objective optimization in order to generate Pareto fronts that can be used for trade-off analysis. The comparison of Pareto fronts for existing and new components will enable us to quantify potential benefits or short-comings of new technologies across different operating ranges. This method will be used for quantifying the potential benefits of the NanoSpark spark plug and for analyzing its performance. The standard engine calibration tests will be used to provide a validation of the performance improvements indicated by the Pareto analysis. It is also necessary to verify the performance of the spark plug over time and to determine the impact of the new technology on other engine components. Traditionally this is evaluated by long duration testing under high engine stress. The McMaster research team has developed a number of signal-based condition monitoring strategies that could be used to reduce the amount of testing required for wear and impact analysis. Related to this analysis, it should be noted that many gasoline engines are now being equipped with direct injection fuel system, with a negative effect on the working life of the spark plug. As the NanoSpark technologies is expected to overcome this limitation, it is an ideal candidate for evaluating our signal-based condition monitoring methodology for this new application.

现代内燃机（ICE）依赖于复杂的控制系统和发动机图谱，以实现更高的燃油效率，同时满足严格的法规排放标准。考虑到汽车行业的规模经济，制造商努力改进其发动机技术，甚至考虑性能的微小改进。为了采用新技术，需要能够识别发动机性能可测量差异的技术来量化新部件的潜在好处。NanoSpark是一家加拿大初创公司，它开发了一种创新的火花点火系统，用于ICE，据信具有性能优势。 麦克马斯特反过来开发了一种方法，可以提供一个定性和定量的比较组成ICE。 我们提出的技术使用传统的发动机映射结合多目标优化，以生成帕累托前沿，可用于权衡分析。 对现有组件和新组件的帕累托前沿进行比较，将使我们能够量化新技术在不同操作范围内的潜在效益或短期效益。该方法将用于量化NanoSpark火花塞的潜在优势并分析其性能。 标准发动机标定试验将用于验证帕累托分析所表明的性能改进。还需要验证火花塞随时间推移的性能，并确定新技术对其他发动机部件的影响。 传统上，这是通过在高发动机应力下进行长时间测试来评估的。 McMaster研究团队开发了许多基于信号的状态监测策略，可用于减少磨损和冲击分析所需的测试量。与此相关的分析，应该注意的是，现在许多汽油发动机都配备了直接喷射燃料系统，对火花塞的工作寿命有负面影响。由于NanoSpark技术有望克服这一限制，因此它是评估我们针对这一新应用的基于信号的状态监测方法的理想候选者。