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Computer Simulation of Automotive Emission Control Systems

机译:汽车排放控制系统的计算机仿真

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Computer simulation has become an important tool for designing automotive emission control systems. This paper highlights some of the key developments made in modelling of diesel emissions control components and catalysts by Johnson Matthey. The general methodology for model development involves determination of the reaction kinetics using laboratory reactor data, followed by validation of the resulting model against vehicle or engine data. The development of models for diesel oxidation catalysts (DOCs), ammonia selective catalytic reduction (SCR) catalysts, lean nitrogen oxides (NOx) traps (LNTs) and diesel particulate filters (DPFs), including coated filters such as the SCR coated DPF (SCRF?), is discussed.A new methodology for developing models (or at least adapting existing models) using engine or vehicle data, which offers a faster route to a finished model, is also discussed. The use of this methodology to develop a DOC model capable of predicting the effect of platinum group metal (pgm) loading is presented; the model gives a good prediction of carbon monoxide, hydrocarbon (HC), NOx and nitrogen dioxide (NO2) over a vehicle test cycle for pgm loadings in the range 30 g ft–3 to 120 g ft–3.
机译:计算机仿真已成为设计汽车排放控制系统的重要工具。本文重点介绍了庄信万丰在柴油机排放控制部件和催化剂建模方面的一些关键进展。模型开发的一般方法包括使用实验室反应堆数据确定反应动力学,然后根据车辆或发动机数据验证所得模型。柴油机氧化催化剂(DOC),氨选择性催化还原(SCR)催化剂,贫氮氧化物(NOx)捕集器(LNT)和柴油机微粒过滤器(DPF)的模型开发,包括诸如SCR涂层DPF(SCRF)的涂层过滤器还讨论了一种新的方法,该方法可使用发动机或车辆数据开发模型(或至少改编现有模型),从而为完成模型提供了更快的途径。提出了使用这种方法开发能够预测铂族金属(pgm)负载影响的DOC模型的方法。该模型对pgm负载在30 g ft-3至120 g ft-3范围内的车辆测试周期内的一氧化碳,碳氢化合物(HC),NOx和二氧化氮(NO2)进行了很好的预测。

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