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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >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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Optimization of the ammonia coverage ratio references in diesel engine two-can selective catalytic reduction systems via nonlinear model predictive control

机译:非线性模型预测控制优化柴油机双罐选择性催化还原系统氨覆盖率参考

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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 cover-age 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 reduction and ammonia slip.
机译:在这项工作中,我们研究了柴油机双罐选择性催化还原系统基于驾驶循环的氨覆盖率参考优化。氨覆盖率参考是氨覆盖率的期望曲线。由于可以将这些所需的配置文件设置为反馈控制的参考,因此获得它们的最佳值很重要。这两个催化剂罐的模型开发和系统参数识别是通过考虑催化剂罐内部的主要化学反应并使用来自US06测试行驶周期的实验数据进行的。双罐设置的主要优点是双重的:第一催化剂罐主要用于还原氮氧化物;第二催化剂罐主要用于还原氮氧化物。第二催化剂罐用于吸附从第一罐排放的氨,从而还原氮氧化物并限制不希望的氨泄漏。为了高的氮氧化物转化率,直观上要求第一催化剂罐的氨覆盖率尽可能高。然而,高的氨覆盖率增加了下游的氨泄漏。为了限制氨向下游的逸出,期望第二催化剂罐的氨覆盖率尽可能低。但是,较低的氨覆盖率可能不利于第二罐中氮氧化物的还原。由于这两种催化剂罐的氨覆盖率存在冲突,因此研究最佳氨覆盖率是非常有趣和有意义的。利用已开发的系统模型,我们提出了一种非线性模型预测控制方法来解决优化问题。研究了各种情况,以研究初始值对氨覆盖率的影响。与现有结果相比,获得的决定氨覆盖率的氨注入曲线可以在排气管氮氧化物还原和氨泄漏方面实现更好的控制性能。

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