Research on particulate filter simulation and regeneration control strategy

Qu, Dawei; Li, Jun; Liu, Yu

doi:10.1016/j.ymssp.2016.05.039

Cited by 23 publications

(9 citation statements)

References 29 publications

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“…For example, a recent study from General Motors presented a methodology focussing on a more reliable engine-out soot mass simulation approach (Barba et al, 2017). Dawei et al (2017) proposed a new method for DPF regeneration, underpinned by mathematical model for more accurate regeneration timing and temperature control. Castellano et al (2013) introduced a novel adaptive control strategy for temperature control using fuel post-injection, which reports improvement of regeneration quality.…”

Section: Reliability Based Paradigm For Dpf Operational Managementmentioning

confidence: 99%

A Reliability Inspired Strategy for Intelligent Performance Management With Predictive Driver Behaviour: A Case Study for a Diesel Particulate Filter

et al. 2021

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The increase availability of operational data from the fleets of cars in the field offers opportunities to deploy machine learning to identify patterns of driver behaviour. This provides contextual intelligence insight that can be used to design strategies for online optimisation of the vehicle performance, including compliance with stringent legislation. This paper illustrates this approach with a case study for a Diesel Particulate Filter, where machine learning deployed to real world automotive data is used in conjunction with a reliability inspired performance modelling paradigm to design a strategy to enhance operational performance based on predictive driver behaviour. The model-in-the-loop simulation of the proposed strategy on a fleet of vehicles showed significant improvement compared to the base strategy, demonstrating the value of the approach.

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Section: Reliability Based Paradigm For Dpf Operational Managementmentioning

confidence: 99%

A Reliability Inspired Strategy for Intelligent Performance Management With Predictive Driver Behaviour: A Case Study for a Diesel Particulate Filter

et al. 2021

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“…Fuel based regeneration affects the durability of DPF and also causes lubricant oil dilution which results in an increase in engine wear and also increases the frequency of maintenance. The burning of the accumulated soot particles creates overheating spots in the filter which will damage the system [55]. A single channel model of the DPF filter was used in [56] for simulating the soot combustion in a DPF.…”

Section: Commercial Fuel Based Active Regeneration Of Dpfmentioning

confidence: 99%

Review on Post-Treatment Emission Control Technique by Application of Diesel Oxidation Catalysis and Diesel Particulate Filtration

Kurien¹

2019

Journal of Thermal Engineering

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The toxic nature of exhaust gases released by these engines has led to environmental concerns, affecting its sustainability. The exhaust emission from diesel engine includes carbon monoxide, nitrates, hydrocarbons and particulate matter. Soot particles contained in the particulate matter is also found to be carcinogenic in nature and also leads to various lung diseases. Diesel oxidation catalysis system involves oxidation of hydrocarbons, nitrates and soluble organic fraction. Diesel particulate filtration blocks the soot particles with the help of alternately plugged diesel particulate filter with porous walls. The regeneration of accumulated soot is one of the major challenges faced by automotive industries for effective implementation of diesel particulate filtration system. A detailed review on the challenges faced in the implementation of emission control techniques has been carried out in this study and it has been explored from the results of literature study that microwave based regeneration technique would be an effective technique. This paper provides a platform for understanding the working principle of post treatment emission control techniques and also on the role of regeneration in effective operation of Diesel Particulate Filter.

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“…Diesel particulate filters (DPF) with a honeycomb structure have become a standard part of diesel exhaust gas aftertreatment systems in the past decade. − Key efforts in the DPF development involve monitoring and control of soot and ash accumulation and management of periodic regeneration events during which the accumulated soot is oxidized at increased temperature. , The Euro 6c number-based particulate emission limits newly enforce the use of particulate filters also for gasoline engines that produce much smaller and lighter soot particles than diesel engines but their number can be relatively high, which holds particularly for engines with direct fuel injection. , In certain aspects, the operation of gasoline particulate filters (GPF) is different to DPF. Due to higher combustion temperature reached in gasoline engines, the operation temperature of GPF is significantly higher than that of DPF .…”

Section: Introductionmentioning

confidence: 99%

“…1−3 Key efforts in the DPF development involve monitoring and control of soot and ash accumulation and management of periodic regeneration events during which the accumulated soot is oxidized at increased temperature. 2,4 The Euro 6c number-based particulate emission limits newly enforce the use of particulate filters also for gasoline engines that produce much smaller and lighter soot particles than diesel engines but their number can be relatively high, which holds particularly for engines with direct fuel injection. 5,6 In certain aspects, the operation of gasoline particulate filters (GPF) is different to DPF.…”

Section: Introductionmentioning

confidence: 99%

Multiscale Modeling and Analysis of Pressure Drop Contributions in Catalytic Filters

Leskovjan

Němec

Plachá

et al. 2021

Ind. Eng. Chem. Res.

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Catalytic monolith filters with a honeycomb structure represent a key component of modern automotive exhaust gas aftertreatment systems. In this paper, we present and validate a multiscale modeling methodology for the prediction of filter pressure loss depending on the monolith channel geometry as well as the microscopic structure of the wall including catalytic coating. The approach is based on the combination of a 3D pore-scale model of flow through the wall reconstructed from X-ray tomography and a 1D+1D model of the filter channels. Several cordierite and SiC filter samples with varying substrate pore sizes and catalyst distributions are examined. A series of experiments are performed at different gas flow rates and filter lengths in order to validate the model predictions and to distinguish individual pressure drop contributions (inlet and outlet, channel, and wall). The predicted pressure drop shows a strong impact of the coating location and agrees well with the experiments.

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Research on particulate filter simulation and regeneration control strategy

Cited by 23 publications

References 29 publications

A Reliability Inspired Strategy for Intelligent Performance Management With Predictive Driver Behaviour: A Case Study for a Diesel Particulate Filter

A Reliability Inspired Strategy for Intelligent Performance Management With Predictive Driver Behaviour: A Case Study for a Diesel Particulate Filter

Review on Post-Treatment Emission Control Technique by Application of Diesel Oxidation Catalysis and Diesel Particulate Filtration

Multiscale Modeling and Analysis of Pressure Drop Contributions in Catalytic Filters

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