摘要
基于尿素选择性催化还原系统物理模型与尿素喷射量控制模型联合仿真的虚拟标定方法,获得了目标NO_(x)转化率脉谱;采用多目标遗传算法对尿素选择性催化还原系统进行优化,得到最优尿素喷射量目标值,同时优化了NO_(x)转化率和NH3泄漏值。分析了原排参数及优化结果对NO_(x)转化率的影响。仿真结果表明,采用优化后的尿素喷射量可实现较高的NO_(x)转化率,在排温200~300℃的条件下NO_(x)转化率平均提高35%左右,同时满足国六排放法规对NH3泄漏限值的要求。
Based on the virtual calibration method using the joint simulation of the physical model of the urea-selective catalyst reduction(SCR)system and the urea injection quantity control model,the target NO_(x) conversion rate map was obtained.The multi-objective genetic algorithm was used to optimize the urea-SCR system,NO_(x) conversion and NH3 leakage value,and the target value of the optimal urea injection volume was obtained from urea-SCR system.The effects of the original exhaust parameters and the optimization results on the NO_(x) conversion were analyzed.The simulation results show that the optimized urea injection amount can achieve higher NO_(x) conversion rate,and the NO_(x) conversion rate is increased by 35%around on average under the condition of exhaust temperature of 200~300℃,which conforms to the ChinaⅥemission standard for NH3 leakage limits.
作者
杨璐
王贵勇
王煜华
何述超
YANG Lu;WANG Guiyong;WANG Yuhua;HE Shuchao(Yunnan Key Laboratory of Internal Combustion Engine,Kunming University of Science and Technology,Kunming 650500,China;Kunming Yunnei Power Co.,Ltd.,Kunming 650500,China)
出处
《内燃机工程》
CAS
CSCD
北大核心
2023年第3期63-71,共9页
Chinese Internal Combustion Engine Engineering
基金
云南省科技厅揭榜制项目(202104BN050007)
云南省科技计划项目(202102AC080004)。
关键词
柴油机
选择性催化还原
NO_(x)
虚拟标定
遗传算法
diesel engine
selective catalytic reduction(SCR)
NO_(x)
virtual calibration
genetic algorithm
