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A Physics-Based Three-Way Catalytic Converter Model for Real-Time Prediction of Temperature Distribution

机译:基于物理的三向催化转换器模型,用于温度分布的实时预测

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摘要

Thermal management of aftertreatment devices is a critical requirement to comply with the stringent emission standards. A recent challenge in aftertreatment control and diagnostics is the need to monitor the temperature distribution along the entire length of the catalyst, rather than relying on a single-point measurement. To this extent, this work focuses on the preliminary development of a control-oriented, physics-based Three-way Catalytic Converter (TWC) model for the purpose of real-time thermal monitoring. Starting from the governing equations for the TWC thermal model in Partial Differential Equation (PDE) form, a model order reduction technique that combines Proper Orthogonal Decomposition and Collocation is proposed. The reduced order model executes much faster than using standard numerical methods, and meanwhile provides comparable accuracy. The model is also validated against GT-Power in the ability to predict the temperature distribution during cold-start conditions.
机译:后处理设备的热管理是遵守严格排放标准的关键要求。后处理控制和诊断中的最新挑战是需要监控整个催化剂长度上的温度分布,而不是依靠单点测量。在此程度上,这项工作着重于为实时热监控目的而对基于控制的,基于物理的三元催化转化器(TWC)模型的初步开发。从偏微分方程(PDE)形式的TWC热模型的控制方程出发,提出了一种将正交分解与并置相结合的模型降阶技术。降阶模型的执行速度比使用标准数值方法快得多,同时具有相当的准确性。该模型还针对GT-Power进行了预测冷启动条件下温度分布的能力的验证。

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