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MODELING AND DETERIORATION DIAGNOSIS OF CATALYST ON VEHICLE BY VARIABLE FORGETTING FACTOR-BASED ON-LINE IDENTIFICATION METHOD

机译:基于可变遗忘系数基线识别方法的催化剂催化剂催化剂的建模与劣化诊断

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The majority of the conventional system purifying exhaust gas is composed of a three-way catalyst and an electronic fuel injection. However, harmful pollutants are increasingly emitted when the catalyst becomes aged. Therefore, it is necessary to detect the deterioration of the catalyst by means of on board diagnosis. In this paper, we propose a diagnosis method of the aged catalyst using recursive system identification method with variable forgetting factor. We focus on the parameter of identified model which represents characteristics of the catalyst, and possibility to describe the diagnosis of the aged catalyst.
机译:大多数常规系统净化废气由三通催化剂和电子燃料喷射组成。然而,当催化剂变老时,越来越散发有害污染物。因此,必须通过轨道诊断检测催化剂的劣化。本文用可变遗忘因子提出了使用递归系统识别方法的老化催化剂的诊断方法。我们专注于表示催化剂特征的鉴定模型的参数,以及描述老化催化剂的诊断的可能性。

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