基于AMESim的柴油机SCR系统NOX转化率仿真与验证
Simulation and verification of NOX conversion rate of diesel engine SCR system based on AMESim
高豪杰 1温志松 1郑竹安 1汪功校 1潘军如 2李家伟3
作者信息
- 1. 盐城工学院 汽车工程学院,江苏 盐城 224051
- 2. 江苏江淮动力有限公司,江苏 盐城 224051
- 3. 济南大学 化学化工学院,山东 济南 250000
- 折叠
摘要
为研究车用柴油机SCR系统催化转化效率的影响因素,利用AMESim软件建立SCR系统仿真模型,结合台架试验,分析了排气温度、NO2/NOX值以及排气流量对系统NOX转化率的影响.将不同温度下SCR系统仿真输出的NOX转化率数据进行了实验验证,结果表明模型预测误差小于 5%.仿真结果显示:SCR系统的NOX转化率会随排气温度升高而明显增大,370～450℃为系统性能的最佳温度区间,NOX转化率最大值均在 88%以上.NOX转化率随着NO2/NOX值的提高而增加,且当NO2/NOX值为 55%～60%时达到峰值.当排气温度处于 400～450℃之间时,NOX转化率受排气流量影响较小,转化率稳定在 90%左右.确定了SCR系统在发动机不同工况条件下的工作性能,为后续的尿素喷射控制研究提供指导依据.
Abstract
In order to study the influencing factors of SCR system catalytic conversion efficiency of vehicle diesel engine,a SCR system simulation model was established by using AMESim software.Combined with bench test,the influence of exhaust temperature,NO2/NOX value and exhaust flow rate on the system NOX conversion rate was analyzed.The NOX conversion data of SCR system simulation output at different temperatures were verified by experiments,and the results showed that the prediction error of the model was less than 5%.The simulation results showed that the NOX conversion rate of SCR system would increase significantly with the increase of exhaust temperature.370～450℃was the best temperature range for system performance,and the maximum NOX conversion rate was above 88%.NOX conversion rate increased with the increase of NO2/NOX value,and reached the peak when NO2/NOX value was 55%～60%.When the exhaust temperature was 400～450℃,the NOX conversion rate was less affected by the exhaust flow,and the conversion rate was stable at about 90%.This study determines the working performance of SCR system under different working conditions of the engine,and provides guidance for the subsequent study of urea injection control.
关键词
柴油机/SCR系统/催化转化/AMESim仿真/排放控制/NOX转化率Key words
diesel engine/SCR system/catalytic conversion/AMESim simulation/emission control/NOX conversion rate引用本文复制引用
基金项目
国家自然科学基金青年基金(21906063)
盐城工学院研究生创新计划(SJCX22_XY046)
出版年
2024
国家科技期刊平台
NSTL
万方数据