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optimization of the ammonia coverage ratio references in diesel engine two-can selective catalytic reduction systems via nonlinear model predictive control

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING 2014年第12期228卷 1452-1467页

作者： Zhang, Hui Wang, Junmin Wang, Yue-Yun Ohio State Univ Dept Mech & Aerosp Engn Columbus OH 43210 USA Gen Motors Global Res & Dev Prop Syst Res Lab Warren MI USA

In this work, we investigate the driving-cycle-based ammonia coverage ratio reference optimization for diesel engine two-can selective catalytic reduction systems. The ammonia coverage ratio references are the desired profiles of the ammonia coverage ratios. As these desired profiles can be set as the references for the feedback controls, it is important to obtain their optimal values. The model development and system parameter identification for these two catalyst cans are carried out by considering the main chemical reactions inside the catalyst cans and using the experimental data from the US06 test driving cycle. The main advantage of the two-can setup is twofold: the first catalyst can is mainly used to reduce the nitrogen oxides;the second catalyst can is used to adsorb the ammonia emitted from the first can such that the nitrogen oxides are reduced and the undesired ammonia slip is constrained. For high nitrogen oxide conversion, it is intuitively required that the ammonia coverage ratio for the first catalyst can is as high as possible. However, a high ammonia coverage ratio increases the ammonia slip downstream. In order to constrain the ammonia slip downstream, it is expected that the ammonia coverage ratio for the second catalyst can is as low as possible. However, the lower ammonia coverage ratio may not help nitrogen oxide reduction in the second can. Because of the conflict in the ammonia coverage ratios for these two catalyst cans, it is quite interesting and meaningful to study the optimal ammonia coverage ratios. With the developed system models, we propose a nonlinear model predictive control approach to solve the optimization problem. Various cases are studied to investigate the effect of the initial value on the ammonia coverage ratios. Compared with the existing results, the obtained ammonia injection profile which decides the ammonia coverage ratios can achieve much better control performance with respect to the tailpipe nitrogen oxide reductio

关键词： Diesel engine emissions selective catalytic reduction system modeling and identification automotive systems nonlinear model predictive control ammonia coverage ratio optimization

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Zonal control for selective catalytic reduction system using a model-based multi-objective genetic algorithm

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INTERNATIONAL JOURNAL OF ENGINE RESEARCH 2021年第3期22卷 911-920页

作者： Wang, Guoyang Qi, Jinzhu Liu, Shiyu Li, Yanfei Shuai, Shijin Wang, Zhiming Shandong Univ Sch Energy & Power Engn Jinan Shandong Peoples R China Tsinghua Univ State Key Lab Automot Safety & Energy Beijing 100084 Peoples R China

It is challenging for aqueous urea injection control to achieve high NOconversion efficiency while restricting tailpipe ammonia (NH3) slip. Optimizing the selective catalytic reduction systems can reduce diesel engine emissions, potentially improve fuel economy and urea utilization efficiency, and finally reduce aftertreatment costs. In this article, a model-based multi-objective genetic algorithm is adopted to optimize selective catalytic reduction systems related to trade-off between NOemission and NH3 slip. Selective catalytic reduction model is a one-state selective catalytic reduction model based on continuous stirred tank reactor theory, which significantly reduces the computational burden. The optimal NH3 coverage ratio map was obtained globally based on world harmonized transient cycle. The effect of temperature on optimal NH3 coverage ratio, Zonal control logics extracted from the optimal solution, and the control problems on different zones were analyzed. The zonal control logics were validated on multiple test cycle with different initial NH3 coverage ratios. Results show that the zonal control achieves high NOconversion while restricting the tailpipe NH3 slip. With this method, NOemission and NH3 slip of optimal solution can meet the requirements of the Euro VI emission regulation for heavy-duty diesel engines.

关键词： Heavy-duty diesel engine NO emission control selective catalytic reduction ammonia coverage ratio optimization multi-objective genetic algorithm

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Cycle-based optimal NO_x emission control of selective catalytic reduction systems with dynamic programming algorithm

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FUEL 2015年 141卷 200-206页

作者： Zhang, Hui Chen, Yan Wang, Junmin Yang, Shichun Ohio State Univ Dept Mech & Aerosp Engn Columbus OH 43210 USA Beihang Univ Sch Transportat Sci & Engn Beijing 100191 Peoples R China

In this work, we investigate the cycle-based optimal NOx emission control for Diesel engine selective catalytic reduction (SCR) systems. The optimization is carried out based on the SCR model and the SCR is assumed to be a continuous stirred tank reactor during the modeling. Considering the main chemical reactions inside an SCR cell, a three-state nonlinear model is obtained and the system parameters are determined by using the experimental data. The states of the nonlinear model consist of the NOx concentration, the ammonia concentration, and the ammonia coverage ratio. Though there are considerable works on the SCR dosing control in the literature, the optimal control strategy applied to the SCR systems has been rarely studied. The global optimality in the SCR dosing control can be used as a benchmark and evaluate the performance of other designed controllers. Moreover, it can be employed to find the limit of NOx conversion efficiency of a specific SCR aftertreatment system and select the minimal volume of the SCR catalyst cell. Therefore, it is quite meaningful to study the optimal NOx emission control of SCR systems via the dynamic programming approach. For the optimization, the challenges arise from the following aspects: (1) Due to the system stiffness, we cannot find an equivalent discrete-time model for the traditional dynamic programming, that is, the traditional dynamic programming algorithm is not applicable. (2) The computational load is relatively too heavy and a personal PC is not affordable. To deal with the existing challenges, we propose the dynamic programming algorithm based on the continuous-time SCR model. The computational load is adjustable in terms of the accuracy. The proposed algorithm is then applied to the SCR system for the NOx emission reduction. And the algorithm validation is carried out based on the US06 test cycle. It infers from the optimization results and the comparison, the prescribed ammonia slip constraint is satisfied and the

关键词： NOx reduction Selective catalytic reduction (SCR) ammonia coverage ratio optimization Dynamic programming

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Cycle-based Optimal Emission Control of Diesel Engine Selective Catalyst Reduction Systems 11

Cycle-based Optimal Emission Control of Diesel Engine Select...

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11th World Congress on Intelligent Control and Automation

作者： Zhang, Hui Chen, Yan Wang, Junmin Wang, Yue-Yun Ohio State Univ Dept Mech Engn Columbus OH 43210 USA GM Global Res & Dev Prop Syst Res Lab Warren MI 48090 USA

ISBN: (纸本)9781479958252

In this work, we investigate the cycle-based optimal emission control for Diesel engine selective catalyst reduction (SCR) systems. Considering the main chemical reactions inside a SCR cell, a three-state nonlinear model is obtained and the system parameters are determined by using the experimental data. Though there are considerable works on the SCR dosage control in the literature, the optimal control strategy applied to the SCR systems has been rarely studied. The global optimality in the SCR dosage control can be used as a benchmark and evaluate the performance of other designed controllers. Moreover, it can be employed to find the limit of NOx conversion efficiency of a specific SCR aftertreatment system. Therefore, it is quite meaningful to study the optimal emission control of SCR systems via the dynamic programming approach. Due to the system stiffness and the huge computational load, we propose the dynamic programming algorithm based on the continuous-time SCR model. The proposed algorithm is applied to the SCR system and the verification is carried out based on the US06 test cycle. The prescribed ammonia slip constraint is satisfied and the tailpipe NOx emission is optimized.

关键词： Selective catalytic reduction (SCR) ammonia coverage ratio optimization dynamic programming

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