Diesel Engine SCR Control: Current Development and Future Challenges

被引：0
作者：
Yuan X. [1 ]
Liu H. [1 ]
Gao Y. [1 ]
机构：
[1] State Key Lab. of Automotive Simulation and Control, Jilin University, Changchun, 130025, Jilin
来源：
Emission Control Science and Technology | 2015年 / 1卷 / 2期
关键词：
Ammonia storage; Control; Diesel engines; Modeling; Selective catalytic reduction (SCR);
D O I：
10.1007/s40825-015-0013-z
中图分类号：
学科分类号：
摘要：
To meet increasingly stringent emission legislations, selective catalytic reduction (SCR) becomes an essential aftertreatment technique. This paper presents a comprehensive overview of the current development and future challenges of SCR control technologies. In this paper, SCR system hardware configurations are introduced, modeling and calibration of the SCR converter are provided, and current control strategies are summarized and reviewed. Finally, primary areas driving the future of SCR control research are discussed. © 2015, Springer SIP, AG.
引用
收藏
页码：121 / 133
页数：12
相关论文
共 62 条
[1]  
Ballinger T., Cox J., Konduru M., De D., Manning W., Andersen P., Evaluation of scr catalyst technology on diesel particulate filters, SAE Int J Fuels Lubr, 2, 1, pp. 369-374, (2009)
[2]  
Bartley G.J., Chadwell C.J., Kostek T.M., Zhan R., Scr deactivation kinetics for model-based control and accelerated aging applications. Tech. Pap. 2012-01-1077, SAE, (2012)
[3]  
Benjamin S., Gall M., Roberts C., Modelling of nox conversion in a 1d diesel engine exhaust scr catalyst system under transient conditions using ammonia gas as the reductant. Tech. Pap. 2012-01-1743, SAE, (2012)
[4]  
Bonfils A., Creff Y., Lepreux O., Petit N., Closed-loop control of a scr system using a nox sensor cross-sensitive to nh3, J. Process Control, 24, 2, pp. 368-378, (2014)
[5]  
Cavataio G., Girard J.W., Lambert C.K., Cu/zeolite scr on high porosity filters: Laboratory and engine performance evaluations. Tech. Pap. 2009-01-0897, SAE, (2009)
[6]  
Chen P., Wang J., Nonlinear and adaptive control of no/no2 ratio for improving selective catalytic reduction system performance, J. Franklin Inst., 350, 8, pp. 1992-2012, (2013)
[7]  
Chi J., DaCosta H., Modeling and control of a urea-scr aftertreatment system, SAE Trans., 114, 4, pp. 449-464, (2005)
[8]  
Chia-Jui C., Chien-Liang K., Chun-Chuan H., Jing-Yuh L., Model predictive control of scr aftertreatment system, Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on, pp. 2058-2063, (2010)
[9]  
Cloudt R., Saenen J., Virtual exhaust line for model-based diesel aftertreatment development. Tech. Pap. 2010-01-0888, SAE, (2010)
[10]  
Cloudt R., Willems F., van der Heijden P., Cost and fuel efficient scr-only solution for post-2010 hd emission standards. Tech. Pap. 2009-01-0915, SAE, (2009)
1234567