Estimation of the Diesel Particulate Filter Soot Load Based on an Equivalent Circuit Model

Yanting Du, Guangdi Hu, Shun Xiang, Ke Zhang, Hongxing Liu and Feng Guo
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Yanting Du: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Guangdi Hu: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Shun Xiang: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Ke Zhang: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Hongxing Liu: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Feng Guo: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China

Energies, 2018, vol. 11, issue 2, 1-13

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.

Keywords: diesel particulate filter; soot load estimation; flow resistance; equivalent circuit model; dual extended Kalman filter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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