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System and method for estimating an amount of particulate matter accumulated in a particulate filter

机译:用于估计颗粒过滤器中累积的颗粒物数量的系统和方法

摘要

An amount of particulate matter accumulated in a particulate filter of an exhaust system is estimated by preloading a memory location with a plurality of hybrid models. Each hybrid model estimates an amount of particulate matter accumulated in the particulate filter between a pair of operating points. An estimated amount of particulate matter accumulated in the particulate filter is stored in the memory location for each hybrid model. Each hybrid model is ranked based on estimation accuracy during operating conditions and the highest ranked hybrid model is selected. The estimated amount of particulate matter accumulated in the particulate filter corresponding to the highest ranked hybrid model is added to the soot estimation value stored in the memory location that corresponds to a ranked hybrid model to provide a soot estimation value of a cumulative estimated amount of particulate matter contained in the particulate filter for the ranked hybrid model.
机译:通过将多个混合模型预加载到存储位置,可以估算出排气系统的微粒过滤器中积累的微粒物质的量。每个混合模型估计一对操作点之间在颗粒过滤器中积累的颗粒物质的量。对于每个混合模型,在颗粒过滤器中累积的颗粒物的估计数量存储在存储位置中。基于操作条件期间的估计准确性对每个混合模型进行排名,并选择排名最高的混合模型。将与最高等级的混合模型相对应的颗粒过滤器中累积的颗粒物的估计量与存储在与分级的混合模型相对应的存储位置中的烟灰估计值相加,以提供颗粒的累积估计量的烟灰估计值分级混合模型的微粒过滤器中包含的杂质。

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