Real Time Implementation of DOC-DPF Models on a Production-Intent ECU for Controls and Diagnostics of a PM Emission Control System

Nagar, Nishit; He, Xiaolai; Iyengar, V.; Acharya, Nirav; Kalinowski, Arkadiusz; Kotrba, Adam; Gardner, Timothy; Yetkin, Argun

doi:10.4271/2009-01-2904

Cited by 15 publications

(7 citation statements)

References 4 publications

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“…the above expressions in equations (16) to (18), has an implementation-friendly characteristic in real-world design and development processes compared with the more theoretical forms found in the studies by Konstandopoulos et al 22,23 and Masoudi et al 24 Mapping the permeability of the deposit According to the Darcy law, the permeability is a measure of the flow conductance of the medium. 47,48 Hence, the permeability physically indicates how well the fluid flow passes through the porous medium.…”

Section: Model Validation For Loaded Filtermentioning

confidence: 95%

“…15,16 Also, an integrated system-level model containing an engine model, emissions models and after-treatment device models was developed to study the dynamic performance between the engine and the after-treatment system, 17 while a zero-dimensional (0D) lumped DPF model was adopted with a 1D DOC model for real-time control of the PM emissions. 18 In addition, an analytical solution approach was employed for the problems of convection, diffusion and chemical reaction in wallflow DPFs. 19 Since the regeneration of PM is normally initiated on the basis of the amount accumulated within the filter, its real-time identification is highly necessary to establish the optimum control strategy.…”

Section: Introductionmentioning

confidence: 99%

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A methodology for estimating the permeability of a soot deposit in a wall-flow diesel particulate filter

Wang¹

2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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An estimation of the realistic permeability of a soot deposit layer accumulated in a wall-flow diesel particulate filter was performed in this study. A unique contribution of this work is that the current methodology is highly applicable to the real-world design and development processes of diesel particulate filters. To conduct baseline simulation, a onedimensional numerical model describing the behaviours of the exhaust gas and soot within a diesel particulate filter was constructed, employing the well-known single-channel approach. On the basis of this in-house model, the microstructural properties of a soot deposit layer were calibrated by finding the best fit to the measurement data adopted from the open literature. For the optimal applicability of the proposed methodology, the permeability of the deposit is modelled as a variable which depends on the temperature and the average wall velocity, while the porosity is constant. The current model and methodology were validated by comparison with the measurement data for pressure drops through diesel particulate filters. In particular, to boost the practical implementation of the current methodology, a map of the permeability of the soot deposit was created as a function of the operating conditions. In the last part of this study, the pressure drop characteristics through a diesel particulate filter under various operating conditions were examined using an analysis of the breakdown of the individual pressure drop mechanisms.

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Section: Model Validation For Loaded Filtermentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

A methodology for estimating the permeability of a soot deposit in a wall-flow diesel particulate filter

Wang¹

2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…This regulatory framework has led to the acknowledgment of the aftertreatment devices as a part of the integral engine concept [7]. Thus, the automotive industry demands flexible aftertreatment modelling tools able to be used in OBD [8] at the same time as the main physical and chemical phenomena are properly treated. This is essential to couple these tools to engine models both for control and gas dynamics [7] applications.…”

Section: Introductionmentioning

confidence: 99%

Lumped Approach for Flow-Through and Wall-Flow Monolithic Reactors Modelling for Real-Time Automotive Applications

Payri¹,

Arnau²,

Piqueras³

et al. 2018

SAE Technical Paper Series

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The increasingly restrictive legislation on pollutant emissions is involving new homologation procedures driven to be representative of real driving emissions. This context demands an update of the modelling tools leading to an accurate assessment of the engine and aftertreatment systems performance at the same time as these complex systems are understood as a single element. In addition, virtual engine models must retain the accuracy while reducing the computational effort to get closer to real-time computation. It makes them useful for pre-design and calibration but also potentially applicable to on-board diagnostics purposes. This paper responds to these requirements presenting a lumped modelling approach for the simulation of aftertreament systems. The basic principles of operation of flow-through and wall-flow monoliths are covered leading the focus to the modelling of gaseous emissions conversion efficiency and particulate matter abatement, i.e. filtration and regeneration processes. The model concept is completed with the solution of pressure drop and heat transfer processes. The lumped approach hypotheses and the solution of the governing equations for every submodel are detailed. While inertial pressure drop contributions are computed from the characteristic pressure drop coefficient, the porous medium effects in wall-flow monoliths are considered separately. Heat transfer sub-model applies a nodal approach to account for heat exchange and thermal inertia of the monolith substrate and the external canning. In wall-flow monoliths, the filtration and porous media properties are computed as a function of soot load applying a spherical packed bed approach. The soot oxidation mechanism including adsorption reactant phase is presented. Concerning gaseous emissions, the general scheme to solve the chemical species transport in the bulk gas and washcoat regions is also described. In particular, it is finally applied to the modelling of CO and HC abatement in a DOC and DPF brick. The model calibration steps against a set of steady-state in-engine experiments allowing separate certain phenomena are discussed. As a final step, the model performance is assessed against a transient test during which all modelled processes are taking place simultaneously under highly dynamic driving conditions. This test is simulated imposing different integration time-steps to demonstrate the model´s potential for real-time applications.

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“…These models assume a lumped approach to heat transfer to the ambient with heat conduction through the substrate wall. Nagar et al [29] implemented a 0-D model faster than real time with an temperature prediction which is within 25 o C of the experimental values. This model had di culty predicting the pressure drop for initiating fuel injection.…”

Section: D and Multi Dimensional Cpf Modelsmentioning

confidence: 80%

Development of a 2D SCR Catalyst on a Diesel Particulate Filter Model for Design and Control Applications to a Ultra Low NOx Aftertreatment System

Chundru¹

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Real Time Implementation of DOC-DPF Models on a Production-Intent ECU for Controls and Diagnostics of a PM Emission Control System

Cited by 15 publications

References 4 publications

A methodology for estimating the permeability of a soot deposit in a wall-flow diesel particulate filter

A methodology for estimating the permeability of a soot deposit in a wall-flow diesel particulate filter

Lumped Approach for Flow-Through and Wall-Flow Monolithic Reactors Modelling for Real-Time Automotive Applications

Development of a 2D SCR Catalyst on a Diesel Particulate Filter Model for Design and Control Applications to a Ultra Low NOx Aftertreatment System

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