NO<sub>2</sub>/NOx Ratio and NH<sub>3</sub> Storage Estimation of Automotive SCR Multi-Brick Systems

Figura, Jiri; Pekař, Jaroslav; Krejza, Pavel; Mráček, David; Wissel, Dirk von; Zhang, Tianran

doi:10.4271/2017-01-0972

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…Regarding the MPC for SCR, there are also few examples of ships although there are various application cases of vehicles. 9,10 In addition, previous research works on MPC are mostly verified by simulation, and there are few examples of validation in an actual test environment. Ong et al 11 established a control-oriented SCR model with a first-order transfer function by associating the inlet ammonia concentration and the ammonia storage.…”

Section: Introductionmentioning

confidence: 99%

Development and verification of model predictive control strategy for selective catalytic reduction with rapid prototyping

Xiao

Zhao

Tan

2022

International Journal of Engine Research

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The International Maritime Organization has set forth strict regulations about the NOx emission limit of ships to address the pollution problem in the transportation sector. Selective catalytic reduction (SCR) is the most effective post-engine means to reduce emission, and the control of urea spray critically affects the SCR performance. This paper developed a predictive control strategy of the SCR system based on the state space model. Specifically, the block model of the SCR reactor was established based on the reaction mechanism of the SCR system, and the unknown model parameters were identified. Rapid prototyping of the SCR system was carried out using the dSPACE real-time simulation platform to optimize the control under steady-state conditions. The catalyst ammonia coverage was set as the control target to maximize the NOx conversion rate while maintaining the NH3 escape at the outlet less than 10 ppm. The cyclic test results showed that the control strategy can quickly respond to external disturbance and modify the control target to keep the ammonia coverage rate within the target range, to thus achieve high NOx conversion rate while maintaining the required ammonia escape.

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Section: Introductionmentioning

confidence: 99%

Development and verification of model predictive control strategy for selective catalytic reduction with rapid prototyping

Xiao

Zhao

Tan

2022

International Journal of Engine Research

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“…While the combined reaction is the fastest, the NO 2 reaction is the slowest, being a factor of 0.5 for NO 2 over NO x when SCR shows the best reduction performance. 16,17…”

Section: Introductionmentioning

confidence: 99%

“…While the combined reaction is the fastest, the NO 2 reaction is the slowest, being a factor of 0.5 for NO 2 over NO x when SCR shows the best reduction performance. 16,17 On-board ageing is considered to be a slowly varying process, which strongly depends on several factors like driving profile, frequency of DPF regenerations or fuel composition, specially if it contains sulphur. In this sense, thermal exposure of after-treatment systems to high temperatures is significant in general use conditions so that thermal mechanisms dominate over other processes like chemical poisoning.…”

Section: Introductionmentioning

confidence: 99%

Experimental determination and modelling of the diesel oxidation catalysts ageing effects

Guardiola

Plá

Pérez

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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After-treatment systems are necessary to respect the pollutant emissions thresholds specified by regulations. However, due to system ageing, the efficiency of the after-treatment system may decrease and affect the vehicle emissions during real driving conditions. To address this issue, the model presented in this article is based on the on-engine tests performed to a set of diesel oxidation catalysts with different ageing levels, through which the ageing process is characterized. Then, the model is able to simulate the light-off temperature and slip increase due to ageing, and it is applied to a Worldwide Harmonized Light Vehicles Test Cycle for a new and a thermally aged catalysts.

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“…This is primarily due to the lack of real-time feedback information such NH3 slip through the SCR catalyst to tighten the dosing control. Although there have been many advancements on-board NH3 sensor measurements it is still a work in progress in order to make it a more robust and cost-effective solution [52,53]. Analytical models are models that make use of an analytical function that describes the responses of the system under study.…”

Section: Figure 14mentioning

confidence: 99%

Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

Padmavathy¹

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Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations Pragalath Thiruvengadam Padmavathy Heavy-duty (HD) diesel engines are the primary propulsion systems used within the freight transportation sector and are subjected to stringent emissions regulations. The primary objective of this study is to develop a robust calibration technique for HD engine optimization in order to meet current and future regulated emissions standards during certification cycles and vocational activities such as drayage operations. Recently, California-Air Resources Board (C-ARB) has also shown interests in controlling off-certification cycle emissions from vehicles operating in the state of California by funding projects such as the Ultra-Low NOx study by Sharp et. al [1]. Moreover, there is a major push for the complex real-world driving emissions testing protocol as the confirmatory and certification testing procedure in Europe and Asia through the United Nations-Economic Commission for Europe (UN-ECE) and International Organization for Standardization (ISO). This calls for more advanced and innovative approaches to optimize engine operation to meet the regulated certification levels. A robust engine calibration technique was developed using dual-layered multi-objective genetic algorithms (D-MOGA) to determine necessary engine control parameter settings. The study focused on reducing fuel consumption and lowering oxides of nitrogen (NOx) emissions, while simultaneously increasing exhaust temperatures for thermal management of exhaust aftertreatment system. The study also focused on using D-MOGA to develop a calibration routine that simultaneously calibrates engine control parameters for transient certification cycles and

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NO₂/NOx Ratio and NH₃ Storage Estimation of Automotive SCR Multi-Brick Systems

Cited by 5 publications

References 12 publications

Development and verification of model predictive control strategy for selective catalytic reduction with rapid prototyping

Development and verification of model predictive control strategy for selective catalytic reduction with rapid prototyping

Experimental determination and modelling of the diesel oxidation catalysts ageing effects

Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

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NO2/NOx Ratio and NH3 Storage Estimation of Automotive SCR Multi-Brick Systems

Cited by 5 publications

References 12 publications

Development and verification of model predictive control strategy for selective catalytic reduction with rapid prototyping

Development and verification of model predictive control strategy for selective catalytic reduction with rapid prototyping

Experimental determination and modelling of the diesel oxidation catalysts ageing effects

Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

Contact Info

Product

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NO₂/NOx Ratio and NH₃ Storage Estimation of Automotive SCR Multi-Brick Systems