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）依靠复杂的控制系统和发动机图，以便在达到严格的监管排放标准的同时达到较高的燃油效率。鉴于汽车行业规模的经济体，制造商努力改善其发动机技术，甚至考虑绩效的很小改善。要采用新技术，需要识别引擎性能差异的技术需要量化新组件的潜在好处。加拿大初创公司Nanospark开发了一种创新的火花点火系统，可用于ICES，据信具有性能益处。 麦克马斯特又开发了一种可以提供质定性和定量比较的方法。 我们提出的技术将常规的发动机映射与多目标优化结合使用，以生成可用于权衡分析的帕累托前沿。 对现有组件和新组件的帕累托前沿的比较将使我们能够量化不同操作范围内新技术的潜在收益或短暂的收益。该方法将用于量化Nanospark火花塞的潜在优势并分析其性能。 标准发动机校准测试将用于提供帕累托分析指示的性能改进的验证。还必须验证火花塞的性能，并确定新技术对其他发动机组件的影响。 传统上，这是通过在高发动机压力下长时间测试来评估的。 麦克马斯特研究团队已经开发了许多基于信号的状况监测策略，可用于减少磨损和撞击分析所需的测试量。与此分析相关的是，应该注意的是，许多汽油发动机现在配备了直接喷射燃料系统，对火花塞的工作寿命产生负面影响。由于预计Nanospark Technologies将克服此限制，因此它是评估我们基于信号的条件监测方法的理想候选者。