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基于微波的三元催化剂状态诊断:影响因素及应用建议

Microwave-Based State Diagnosis of Three-Way Catalysts: Impact Factors and Application Recommendations.

作者信息

Steiner Carsten, Malashchuk Vladimir, Kubinski David, Hagen Gunter, Moos Ralf

机构信息

Bayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, Germany.

Ford Motor Company, Dearborn, MI 48124, USA.

出版信息

Sensors (Basel). 2024 Jun 24;24(13):4091. doi: 10.3390/s24134091.

Abstract

This study reassesses an overview of the potential of the radio frequency (RF)-based state diagnostics of three-way catalysts (TWC) based on a previous study with an emphasis on the defect chemistry of the catalyst material during reoxidation and reduction. Some data are based on the previous works but are newly processed, and the signal parameters resonant frequency and inverse quality factor are evaluated with respect to applicability. The RF-based method uses electromagnetic resonances in a cavity resonator to provide information on the storage level of the oxygen storage component. The analysis focuses on a holistic investigation and evaluation of the major effects influencing the RF signal during operation. On the one hand, the response to the oxygen storage behavior and the resolution of the measurement method are considered. Therefore, this study merges original data from multiple former publications to provide a comprehensive insight into important measurement effects and their defect chemistry background. On the other hand, the most important cross-sensitivities are discussed and their impact during operation is evaluated. Additionally, the effect of catalyst aging is analyzed. The effects are presented separately for the two resonant parameters: resonant frequency and (unloaded) quality factor. Overall, the data suggest that the quality factor has a way higher signal quality at low temperatures (<400 °C) and the resonant frequency is primarily suitable for high operating temperatures. At most operating points, the quality factor is even more robust against interferences such as exhaust gas stoichiometry and water content. Correctly estimating the catalyst temperature is the most important factor for reliable results, which can be achieved by combining the information of both resonant signals. In the end, the data indicate that microwave-based state diagnosis is a powerful system for evaluating the oxygen storage level over the entire operating range of a TWC. As a research tool and in its application, the system can therefore contribute to the improvement of the emission control of future gasoline vehicles.

摘要

本研究在先前研究的基础上,重新评估了基于射频(RF)的三元催化剂(TWC)状态诊断的潜力,重点关注催化剂材料在再氧化和还原过程中的缺陷化学。一些数据基于先前的工作,但经过了新的处理,并针对适用性评估了信号参数共振频率和品质因数倒数。基于RF的方法利用腔谐振器中的电磁共振来提供关于储氧组分存储水平的信息。分析重点在于对运行期间影响RF信号的主要效应进行全面研究和评估。一方面,考虑了对储氧行为的响应和测量方法的分辨率。因此,本研究合并了多个先前出版物的原始数据,以全面深入了解重要的测量效应及其缺陷化学背景。另一方面,讨论了最重要的交叉敏感性,并评估了它们在运行期间的影响。此外,还分析了催化剂老化的影响。分别针对两个共振参数:共振频率和(空载)品质因数呈现了这些影响。总体而言,数据表明品质因数在低温(<400°C)下具有更高的信号质量,而共振频率主要适用于高运行温度。在大多数运行点,品质因数对诸如废气化学计量比和含水量等干扰更为稳健。正确估计催化剂温度是获得可靠结果的最重要因素,这可以通过结合两个共振信号的信息来实现。最后,数据表明基于微波的状态诊断是一种在TWC的整个运行范围内评估储氧水平的强大系统。因此,作为一种研究工具及其应用,该系统有助于改善未来汽油车的排放控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46f/11243869/62c03608507b/sensors-24-04091-g001.jpg

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