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    • Output State Observation of Diesel Engine Selective Catalytic Reduction System Based on Higher Order Model with Extended Kalman Filtering
    DOI：10.13949/j.cnki.nrjgc.2025.02.010
    Key Words:diesel engine  selective catalytic reduction（SCR）  extended Kalmanfilter（EKF）  observer
    Author NameAffiliationE-mail
    LIU Wenlong State Key Laboratory of Automobile Simulation and Control， Jilin University， Changchun 130025， China wenlongliu1012@163.com 
    GAO Ying* State Key Laboratory of Automobile Simulation and Control， Jilin University， Changchun 130025， China gaoying@jlu.edu.cn 
    YOU Yuelin State Key Laboratory of Automobile Simulation and Control， Jilin University， Changchun 130025， China youyl22@mails.jlu.edu.cn 
    JIANG Changwen State Key Laboratory of Automobile Simulation and Control， Jilin University， Changchun 130025， China jiangcw21@mails.jlu.edu.cn 
    HUA Taoyi State Key Laboratory of Automobile Simulation and Control， Jilin University， Changchun 130025， China tyhua21@mails.jlu.edu.cn 
    XIA Bocong State Key Laboratory of Automobile Simulation and Control， Jilin University， Changchun 130025， China xiabc22@mails.jlu.edu.cn 
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    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 （） 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 . In Case 2， the 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 . The results demonstrate that the SCR high-order model combined with VTS-EKF can accurately observe the SCR initial state.
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