Abstract
In order to estimate the diesel particulate filter (DPF) soot load and improve the accuracy of regeneration timing, a novel method based on an equivalent circuit model is proposed based on the electric-fluid analogy. This proposed method can reduce the impact of the engine transient operation on the soot load, accurately calculate the flow resistance, and improve the estimation accuracy of the soot load. Firstly, the least square method is used to identify the flow resistance based on the World Harmonized Transient Cycle (WHTC) test data, and the relationship between flow resistance, exhaust temperature and soot load is established. Secondly, the online estimation of the soot load is achieved by using the dual extended Kalman filter (DEKF). The results show that this method has good convergence and robustness with the maximal absolute error of 0.2 g/L at regeneration timing, which can meet engineering requirements. Additionally, this method can estimate the soot load under engine transient operating conditions and avoids a large number of experimental tests, extensive calibration and the analysis of complex chemical reactions required in traditional methods.
Highlights
Particulate matter (PM) is the main emission pollutant of diesel engines and it is harmful to human health [1]
The diesel particulate filter (DPF) is the most effective technique to reduce PM emissions [4]; it can capture more than 90% of PM [5,6,7] with many parallel channels inserted at both ends to force the exhaust gases through the porous ceramic walls [8]
The results show that the proposed method overcomes the difficulty of accurately estimating the soot load online under diesel engine transient operating conditions and improves the estimation accuracy of the soot load, while avoiding the shortcoming of a large number of experimental tests and analyses of complex chemical reactions required in traditional methods
Summary
Particulate matter (PM) is the main emission pollutant of diesel engines and it is harmful to human health [1]. Triggering a DPF regeneration at the right timing is a challenging task that requires an accurate estimation of the soot load. Energies 2018, 11, 472 soot load model is studied to address the relatively poor accuracy of soot estimation at a lower exhaust volumetric flow. A novel method for estimation of the DPF soot load based on a DPF equivalent circuit model is proposed, where the resistance affected by soot load can be estimated online with measurement parameters (exhaust flow, exhaust temperature and DPF pressure drop) in dual extended. The results show that the proposed method overcomes the difficulty of accurately estimating the soot load online under diesel engine transient operating conditions and improves the estimation accuracy of the soot load, while avoiding the shortcoming of a large number of experimental tests and analyses of complex chemical reactions required in traditional methods
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