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Modeling and diagnostics of three-way catalysts for advanced emissions control systems.

机译:用于高级排放控制系统的三效催化剂的建模和诊断。

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Automotive emissions are stringently regulated. Since 1980, a three-way catalyst (TWC) has been used to convert harmful emissions of hydrocarbons, carbon monoxide, and oxides of nitrogen into less harmful gases in order to meet these regulations. The TWC's efficiency of conversion of these gases is primarily dependent on the mass ratio of air to fuel (A/F) in the mixture leaving the exhaust manifold and entering the catalyst, the velocity of the exhaust mass, and the temperature of the catalyst. This dissertation develops a dynamic, phenomenological, control-oriented model of a TWC. The importance of developing such a model is explained, and the measurement capabilities needed to construct the model are detailed: medium bandwidth A/F measurements and low bandwidth temperature and emission measurements. In the second half of the dissertation, the dynamic TWC model is used for diagnostic purposes. Firstly, an extended Kalman filter is employed to monitor the status of a TWC using on-line parameter identification. Secondly, a more reliable diagnostic method is analyzed in the context of a hypothesis test that is based on the oxygen storage capacity of the TWC.
机译:汽车排放受到严格管制。自1980年以来,为了满足这些法规,一直使用三效催化剂(TWC)将碳氢化合物,一氧化碳和氮氧化物的有害排放物转化为危害较小的气体。 TWC转换这些气体的效率主要取决于离开排气歧管并进入催化剂的混合物中空气与燃料的质量比(A / F),排气质量的速度和催化剂的温度。本文建立了一个动态的,现象学的,面向控制的TWC模型。解释了开发这种模型的重要性,并详细说明了构建模型所需的测量能力:中带宽A / F测量以及低带宽温度和发射测量。在论文的后半部分,将动态TWC模型用于诊断目的。首先,采用扩展的卡尔曼滤波器,通过在线参数识别来监视TWC的状态。其次,在基于TWC储氧能力的假设检验的背景下,分析了一种更可靠的诊断方法。

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