Estimating the oxygen storage level of a three-way automotive catalyst
Estimating the oxygen storage level of a three-way automotive catalyst
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估算三效汽车催化剂的储氧水平
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
James C. Peyton Jones
中科院分区：
文献类型：
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作者：
K. Muske;James C. Peyton Jones
提出了一种用于汽车三效催化剂储氧水平测定的滚动时域估计方法。储存和释放氧气的能力是汽车排放控制系统中三元催化剂组分的操作的关键方面。由于储氧水平不能直接测量，因此必须根据催化剂前和催化剂后空燃比传感器测量值进行估计，以用于基于模型的控制和监测应用。然而，这些传感器容易失真，并且产生低尾管排放的发动机操作条件也导致氧存储水平对于典型发动机操作的很大一部分变得不可观察。在这项工作中提出的滚动时域估计，使用一个组合的催化剂氧存储/传感器失真模型的基础上，能够提供可靠的估计，在这些情况下。估计算法证明使用实验发动机运行数据。
A moving horizon estimation strategy is developed for the determination of the oxygen storage level of a three-way automotive catalyst. The ability to store and release oxygen is a critical aspect to the operation of the three-way catalyst component in automotive emission control systems. Because the oxygen storage level cannot be measured directly, it must be estimated from pre-catalyst and post-catalyst air fuel ratio sensor measurements for model-based control and monitoring applications. However, these sensors are subject to distortion and the engine operating conditions that produce low tail-pipe emissions also result in the oxygen storage level becoming unobservable for a significant fraction of typical engine operation. The moving horizon estimator presented in this work, based on the use of a combined catalyst oxygen storage/sensor distortion model, is able to provide reliable estimates under these circumstances. The estimation algorithm is demonstrated using experimental engine operating data.