A Virtual Sensor for Soot Load Estimation in Diesel Particulate Filters

被引：0

作者：

Magar, Pratik ^{[1
]}

Anwar, Sohel ^{[1
]}

Izadian, Afshin ^{[1
]}

机构：

[1] Indiana Univ Purdue Univ, Indianapolis, IN 46202 USA

来源：

PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2018, VOL 4A | 2019年

关键词：

Diesel particulate filter; soot load; virtual sensor; turbocharger turbine; fuel efficiency;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In this paper, a new method for measuring the DPF soot load is proposed which does not require any physical sensors for its operation. This method is applicable for all the automobiles equipped with a turbocharger. The proposed virtual sensor utilizes the information on the turbocharger turbine speed variations to estimate the DPF soot load. Simulation results show that the proposed method offers an effective way to accurately estimate the soot load in DPF. The proposed method can have a significant impact on improving the DPF regeneration process efficiency (and thereby fuel efficiency) by eliminating the use of less reliable differential pressure sensor based DPF soot load estimation.

引用

页数：7

共 10 条

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