内燃机工程2025，Vol.46Issue(2)：82-93,12.DOI:10.13949/j.cnki.nrjgc.2025.02.010
基于高阶模型与扩展卡尔曼滤波的柴油机选择性催化还原系统输出状态观测
Output State Observation of Diesel Engine Selective Catalytic Reduction System Based on Higher Order Model with Extended Kalman Filtering
摘要
Abstract
The high-order selective catalytic reduction(SCR)model equations were simplified,and the chemical reaction parameters were optimized.And a variable time-step extended Kalman filter(VTS-EKF)observer was designed in conjunction with the high-order SCR model.Two observation scenarios were considered.Case 1 was involved in observing the ammonia storage coverage and the downstream NOx volume fraction when the downstream NOx sensor failed,while Case 2 was involved in observing the ammonia storage coverage and the downstream NH3 volume fraction when the downstream NH3 sensor failed.The observation effects of these two cases were verified through dynamic condition bench tests.The results showed that the coefficient of determination(R2)between the observed and model calculated values of ammonia storage coverage in Case 1 was 0.99,and the mean absolute error(MAE)between the model calculated and experimental values of downstream NOx volume fraction was 42.50×10-6.In Case 2,the R2 between the observed and modeled values of ammonia storage coverage was 0.99,and the MAE between the VTS-EKF observed and experimental values of downstream NH3 volume fraction was 4.26×10-6.The results demonstrate that the SCR high-order model combined with VTS-EKF can accurately observe the SCR initial state.关键词
柴油机/选择性催化还原/扩展卡尔曼滤波/观测器Key words
diesel engine/selective catalytic reduction(SCR)/extended Kalman filter(EKF)/observer分类
能源科技引用本文复制引用
刘文龙,高莹,尤岳林,姜长文,华韬轶,夏博聪..基于高阶模型与扩展卡尔曼滤波的柴油机选择性催化还原系统输出状态观测[J].内燃机工程,2025,46(2):82-93,12.基金项目
国家自然科学基金项目(52076102) National Natural Science Foundation of China(52076102) （52076102）
