A control-oriented modular one-dimensional model for wall-flow diesel particulate filters

2017 ◽  
Vol 19 (3) ◽  
pp. 329-346 ◽  
Author(s):  
Soroosh Hassanpour ◽  
John McPhee
Keyword(s):  
Differential Equations ◽  
Dimensional Model ◽  
Orthogonal Collocation ◽  
Diesel Particulate ◽  
One Dimensional ◽  
Diesel Particulate Filters ◽  
Particulate Filters ◽  
Wall Flow ◽  
Flow Pressure ◽  
Regeneration Processes

A comprehensive modular one-dimensional physics-based mathematical model is developed for non-isothermal compressible flow, pressure drop, and filtration and regeneration processes in wall-flow diesel particulate filters. Employing a modified orthogonal collocation method and symbolic computation in Maple™, the governing partial differential equations are reduced to a control-oriented model governed by ordinary differential equations which can be solved in real time. Numerical examples are provided to indicate the accuracy and computational efficiency of the developed model and to study the different behaviors of wall-flow diesel particulate filters.

scholarly journals Low Power Autoselective Regeneration of Monolithic Wall Flow Diesel Particulate Filters

2009 ◽  
Author(s):  
A. M. Williams ◽  
C. P. Garner ◽  
J. E. Harry ◽  
D. W. Hoare ◽  
D. Mariotti ◽  
...  
Keyword(s):  
Low Power ◽  
Diesel Particulate ◽  
Diesel Particulate Filters ◽  
Particulate Filters ◽  
Wall Flow

Modeling of Diesel Particulate Filter Regeneration under the Urban Dynamometer Driving Schedule

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Di Huang ◽  
Jason M. Keith
Keyword(s):  
State Standards ◽  
Particulate Filter ◽  
Transient Temperature ◽  
Dimensional Model ◽  
Thermal Regeneration ◽  
Diesel Particulate ◽  
One Dimensional ◽  
Deposit Thickness ◽  
Particulate Filters ◽  
Exhaust Temperature

Abstract Particulate Matter (PM) emissions from either on-road or off-road diesel engines are subject to federal and/or state standards. Recently, Diesel Particulate Filters (DPF) have been shown to be the most efficient way to reduce the PM emissions. However, DPFs need to be regenerated periodically. In order to predict when to regenerate the DPF under real-time driving conditions, a regeneration model for the DPF is needed. In this study, a transient one-dimensional model is used to track gas and solid temperatures and the particulate deposit thickness, and is studied under the Urban Dynamometer Driving Schedule (UDDS) which has variable exhaust flow rate, exhaust temperature, and PM concentration. In order to determine the best conditions, the thermal regeneration is initiated at different time points during the UDDS cycle. Moreover, we also calculate the transient temperature profile and the deposit thickness for each case. We found that the regeneration efficiency is the highest when the regeneration is initiated at 180 seconds into the UDDS cycle which corresponds to a period of extended city driving without stopping.

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