SBIR Phase I: Adaptive Radio Frequency Sensors for Catalyst Systems: Enabling Improved Efficiency and Advanced Diagnostics

SBIR 第一阶段：用于催化剂系统的自适应射频传感器：提高效率和高级诊断

• 批准号: 1519767
• 负责人: Alexander Sappok
• 金额: $ 15万
• 依托单位: Filter Sensing Technologies, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1519767&HistoricalAwards=false
• 关键词: SBIR; Phase; Adaptive; Radio; Frequency

The broader impact/commercial potential of this project will address a currently unmet market need, namely the development of a platform RF-based sensing technology for direct measurement, control, and diagnosis of catalyst performance. If successful, the technology presents a paradigm shift in emissions measurements and catalyst control. Advanced sensors and controls are required to enable emissions catalysts to meet strict regulations limiting the emissions of pollutants from combustion engines to minimize their adverse environmental and health effects. The proposed FST technology provides a single solution to address both the requirements for on-board diagnostics and improved catalyst operation. Driven by these regulations, the market for emissions sensors is rapidly outpacing the markets for other types of engine and vehicle sensors. FST?s technology is well-positioned to capitalize on this growth, providing a robust and much lower-cost alternative to the use of multiple, expensive, and specialized sensors. This technology is not limited to emissions measurements, but is applicable to a wide range of industrial and process control applications.This Small Business Innovation Research (SBIR) Phase I project will research, develop, and apply a novel radio frequency (RF) sensing method to provide direct, real-time measurements of chemical processes occurring on catalysts for vehicle applications. Strict emissions regulations have driven the development of complex emissions control systems to meet these mandates. Today's new diesel-powered vehicles contain several different types of catalysts and filters, all monitored by an extensive sensor network to achieve the required emissions reduction and diagnose system failures. The current approach utilizes multiple dedicated electrochemical sensors, each designed to measure a specific emissions component, which adds considerable cost and complexity to the system. In addition, these sensors provide only a local measurement of the exhaust gas composition, requiring the use of on-board predictive models to indirectly estimate the condition or performance of the catalyst. The proposed RF sensor overcomes these challenges by monitoring the chemical processes on the catalyst directly. This project will investigate the feasibility of applying RF sensing for control and diagnostic applications with a range of catalysts to identify the most promising applications which will be pursued in Phase II.

该项目更广泛的影响/商业潜力将解决目前尚未满足的市场需求，即开发基于RF的平台传感技术，用于直接测量、控制和诊断催化剂性能。 如果成功，该技术将在排放测量和催化剂控制方面带来范式转变。 需要先进的传感器和控制装置，以使排放催化剂能够满足限制内燃机污染物排放的严格规定，以最大限度地减少其对环境和健康的不利影响。 所提出的FST技术提供了一个单一的解决方案，以满足车载诊断和改进催化剂操作的要求。 在这些法规的推动下，排放传感器市场的发展速度正在迅速超过其他类型的发动机和车辆传感器市场。 FST？公司的技术是很好的定位，以利用这一增长，提供了一个强大的和低得多的成本替代使用多个，昂贵的，专门的传感器。 该技术不仅限于排放测量，还适用于广泛的工业和过程控制应用。该小型企业创新研究（SBIR）第一阶段项目将研究、开发和应用一种新型射频（RF）传感方法，为车辆应用提供催化剂上发生的化学过程的直接实时测量。 严格的排放法规推动了复杂排放控制系统的发展，以满足这些要求。 今天的新型柴油动力车辆包含几种不同类型的催化剂和过滤器，所有这些都由广泛的传感器网络进行监控，以实现所需的减排和诊断系统故障。当前的方法利用多个专用电化学传感器，每个传感器都设计用于测量特定的排放成分，这给系统增加了相当大的成本和复杂性。 此外，这些传感器仅提供废气成分的局部测量，需要使用车载预测模型来间接估计催化剂的状况或性能。 所提出的RF传感器通过直接监测催化剂上的化学过程克服了这些挑战。 该项目将研究将射频传感应用于控制和诊断应用的可行性，并采用一系列催化剂，以确定将在第二阶段进行的最有前途的应用。