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、NO_(2)/NO_(X)值以及排气流量对系统NO_(X)转化率的影响。将不同温度下SCR系统仿真输出的NO_(X)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NO_(X)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,NO_(X)转化率最大值均在88%以上。NO_(X)转化率随着NO_(2)/NO_(X)值的提高而增加,且当NO_(2)/NO_(X)值为55%~60%时达到峰值。当排气温度处于400~450℃之间时,NO_(X)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。
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,NO_(2)/NO_(X)value and exhaust flow rate on the system NO_(X)conversion rate was analyzed.The NO_(X)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 NO_(X)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 NO_(X)conversion rate was above 88%.NO_(X)conversion rate increased with the increase of NO_(2)/NO_(X)value,and reached the peak when NO_(2)/NO_(X)value was 55%~60%.When the exhaust temperature was 400~450℃,the NO_(X)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.
作者
高豪杰
温志松
郑竹安
汪功校
潘军如
李家伟
GAO Haojie;WEN Zhisong;ZHENG Zhu'an;WANG Gongxiao;PAN Junru;LI Jiawei(School of Automotive Engineering,Yancheng Institute of Technology,Yancheng 224051,Jiangsu,China;Jiangsu Jianghuai Power Co.,Ltd.,Yancheng 224051,Jiangsu,China;School of Chemistry and Chemical Engineering,Jinan University,Jinan 250000,Shandong,China)
出处
《农业装备与车辆工程》
2024年第1期178-182,共5页
Agricultural Equipment & Vehicle Engineering
基金
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项目(SJCX22_XY046)。
