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A particle filter for ammonia coverage ratio and input simultaneous estimations in Diesel-engine SCR system

机译:柴油机SCR系统中氨覆盖率和输入同时估算的粒子过滤器

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摘要

As NOx emissions legislation for Diesel-engines is becoming more stringent than ever before, an aftertreatment system has been widely used in many countries. Specifically, to reduce the NOx emissions, a selective catalytic reduction(SCR) system has become one of the most promising techniques for Diesel-engine vehicle applications. In the SCR system, input ammonia concentration and ammonia coverage ratio are regarded as essential states in the control-oriental model. Currently, an ammonia sensor placed before the SCR Can is a good strategy for the input ammonia concentration value. However, physical sensor would increase the SCR system cost and the ammonia coverage ratio information cannot be directly measured by physical sensor. Aiming to tackle this problem, an observer based on particle filter(PF) is investigated to estimate the input ammonia concentration and ammonia coverage ratio. Simulation results through the experimentally-validated full vehicle simulator cX-Emission show that the performance of observer based on PF is outstanding, and the estimation error is very small.
机译:随着柴油机NOx排放法规比以往更加严格,后处理系统已在许多国家广泛使用。具体而言,为了减少NOx排放,选择性催化还原(SCR)系统已成为柴油发动机车辆应用中最有希望的技术之一。在SCR系统中,在控制方向模型中,输入氨浓度和氨覆盖率被视为基本状态。目前,将氨传感器放在SCR罐之前是输入氨浓度值的好方法。但是,物理传感器会增加SCR系统的成本,氨气覆盖率信息无法通过物理传感器直接测量。为了解决这个问题,研究了一种基于颗粒过滤器(PF)的观测器,以估算输入的氨浓度和氨覆盖率。通过实验验证的全车模拟器cX-Emission进行的仿真结果表明,基于PF的观察者表现出色,估计误差很小。

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