基于多目标遗传算法的SCR系统氨覆盖率优化*

doi:10.19562/j.chinasae.qcgc.2020.03.001

汽车工程 ›› 2020, Vol. 42 ›› Issue (3): 279-285.doi: 10.19562/j.chinasae.qcgc.2020.03.001

• • 下一篇

基于多目标遗传算法的SCR系统氨覆盖率优化^*

王国仰¹, 祁金柱², 刘世宇², 帅石金², 王志明¹

1.山东大学能源与动力工程学院,济南 250061;
2.清华大学,汽车安全与节能国家重点实验室,北京 100084

收稿日期:2019-05-07 出版日期:2020-03-25 发布日期:2020-04-16
通讯作者: 帅石金,教授,博士,E-mail:sjshuai@tsinghua.edu.cn
基金资助:
*国家重点研发计划(2017YFC0211105,2017YFC0211103)资助

Optimization of Ammonia Coverage Ratio in Selective Catalytic Reduction System Using a Multi-objective Genetic Algorithm

Wang Guoyang¹, Qi Jinzhu², Liu Shiyu², Shuai Shijin², Wang Zhiming¹

1.The School of Energy and Power Engineering, Shandong University, Jinan 250061;
2.Tsinghua University, State Key Laboratory of Automotive Safety and Energy, Beijing 100084

Received:2019-05-07 Online:2020-03-25 Published:2020-04-16

摘要/Abstract

摘要： 基于单状态选择催化还原(SCR)模型,应用多目标遗传算法对SCR系统进行优化。获得了最优氨覆盖率目标值,优化了SCR系统NO_x排放和NH₃泄漏之间的此消彼长(tread-off)的关系,分析了催化器温度、空速和SCR催化器入口NO_x浓度对最优目标氨存储的影响。研究结果表明,催化器温度是最优氨覆盖率目标值的主要影响因素,最优氨覆盖率目标值随着温度的增大呈线性降低趋势。世界统一稳态测试循环(WHSC)和瞬态测试循环(WHTC)仿真结果表明,采用优化后的氨覆盖率图谱作为氨存储目标值,可在取得较低NO_x排放的同时限制NH₃泄漏。

关键词: 重型柴油机, NO_x排放控制, 选择性催化还原, 氨覆盖率优化, 多目标遗传算法

Abstract: Based on the one-state selective catalytic reduction (SCR) model, a multi-objective genetic algorithm is adopted for SCR system optimization. The optimal ammonia coverage ratio target value is obtained. The tread-off relationship between NO_x emission and NH₃ leakage in SCR system is optimized. The effect of catalyst temperature, space velocity and SCR catalyst inlet NO_x concentration on optimal target ammonia storage is analyzed. The results show that the catalyst temperature has the main influence on the target value of the optimal ammonia coverage ratio, which decreases linearly with the increase of the temperature. The simulation results of the world harmonized stationary cycle (WHSC) and world harmonized transient cycle (WHTC) show that the optimal ammonia coverage ratio map as control set-point can achieve low NO_x emission while restrict NH₃ leakage

Key words: heavy-duty diesel engine, NO_x emission control, selective catalytic reduction, ammonia coverage ratio optimization, multi-objective genetic algorithm

王国仰, 祁金柱, 刘世宇, 帅石金, 王志明. 基于多目标遗传算法的SCR系统氨覆盖率优化^*[J]. 汽车工程, 2020, 42(3): 279-285.

Wang Guoyang, Qi Jinzhu, Liu Shiyu, Shuai Shijin, Wang Zhiming. Optimization of Ammonia Coverage Ratio in Selective Catalytic Reduction System Using a Multi-objective Genetic Algorithm[J]. Automotive Engineering, 2020, 42(3): 279-285.

参考文献

[1] GUAN B, ZHAN R, LIN H E, et al. Review of state of the art technologies of selective catalytic reduction of NO_x from diesel engine exhaust[J]. Applied Thermal Engineering,2014,66(1-2):395-414.
[2] JOSHI A. Review of vehicle engine efficiency and emissions[C]. SAE Paper 2019-01-0314.
[3] 帅石金,唐韬,赵彦光,等.柴油车排放法规及后处理技术的现状与展望[J].汽车安全与节能学报,2012,3(3):200-217.
[4] HOLLAUF B, BREITSCHADEL B, SACHER T, et al. Highest NO_x conversion in SCR catalysts through model based control[C]. SAE Paper 2011-26-0042.
[5] 胡静,赵彦光,陈婷,等.重型柴油机尿素SCR后处理系统的控制策略研究[J].内燃机工程,2011,32(2):7-11.
[6] WANGD Y, YAO S, SHOST M, et al. Ammonia sensor for closed-loop SCR control[J]. SAE International Journal of Passenger Cars-Electronic and Electrical Systems,2009,1(1):323-333.
[7] SCHMIEGS J, OH S H, KIM C H, et al. Thermal durability of Cu-CHA NH₃-SCR catalysts for diesel NO_x reduction[J]. Catalysis Today,2012,184(1):252-261.
[8] MA L, CHENG Y, CAVATAIO G, et al. Characterization of commercial Cu-SSZ-13 and Cu-SAPO-34 catalysts with hydrothermal treatment for NH₃-SCR of NO_x in diesel exhaust[J]. Chemical Engineering Journal,2013,225(3):323-330.
[9] WEI L, YAN F, HU J, et al. NO_x, conversion efficiency optimization based on NSGA-II and state-feedback nonlinear model predictive control of selective catalytic reduction system in diesel engine[J]. Applied Energy,2017,206:959-971.
[10] ZHANG H, CHEN Y, WANG J, et al. Cycle-based optimal NO_x emission control of selective catalytic reduction systems with dynamic programming algorithm[J]. Fuel,2015,141:200-206.
[11] WURZENBERGER J, WANKER R. Multi-scale SCR modeling, 1D kinetic analysis and 3D system simulation[C]. SAE Paper 2005-01-0948.
[12] 王军,赵琛,董彦,等.结构参数对Urea-SCR系统性能的影响研究[J].汽车工程,2019,41(1):29-35.
[13] SCHAR C, ONDER C, GEERING H, et al. Control-oriented model of an SCR catalytic converter system[C]. SAE Paper 2004-01-0153.
[14] SEHER D, REICHELT M, WICHERT S. Control strategy for NO_x-emission reduction with SCR[C]. SAE Paper 2003-01-3362.
[15] WANG G, ALI H, ZHANG J, et al. Development of model predictive control strategy of SCR system for heavy-duty diesel engines with a one-state control-oriented SCR model[C]. SAE Paper 2018-01-1763.

基于多目标遗传算法的SCR系统氨覆盖率优化^*

Optimization of Ammonia Coverage Ratio in Selective Catalytic Reduction System Using a Multi-objective Genetic Algorithm

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 3

Metrics

本文评价

推荐阅读 10

[1]	岳广照,孙振茂,田广东. SCR催化器温度在线预估算法及试验研究[J]. 汽车工程, 2021, 43(9): 1308-1313.
[2]	刘世宇, 王国仰, 谭致, 张兆欢, 帅石金, 王志明. 满足超低NO_x排放标准的紧凑耦合SCR系统控制策略研究^*[J]. 汽车工程, 2020, 42(12): 1630-1637.
[3]	王军, 赵琛, 董彦, 赵闯, 朱磊. 结构参数对Urea-SCR系统性能的影响研究^*[J]. 汽车工程, 2019, 41(1): 29-35.