The model-based design is very much prominent in the vehicle level control system design and state estimation algorithms. It gives the edge to understand and interpret the dynamic systems. Three-way catalytic converter is a thermo-chemical device to convert the toxic oxides into carbon dioxide and water vapor, during this conversion reactions it generates the heat over the catalyst surface. Detailed chemical and thermal model of the catalyst will be able to predict the conversion efficiency, state of stored oxygen (SoX) and oxygen storage capacity (OSC). As the catalyst get aged, the reaction rates of conversion reactions deteriorate, in results the temperature dynamics also varies which wanes the exothermic heat. In this work, a novel perspective is presented to capture the behavior of SoX and health of the catalytic converter using thermal model analysis of TWC. An equivalent second order multi input single output (MISO) linear sub-space model is identified for the complex detailed thermal model. A second order MISO system is obtained using measured temperature sensor signals across the device. Recursive least square method will be updating the system parameters online then Kalman filter is employed for state estimation. Joint estimation of the hidden state is tested and validated on urban drive cycle with differently aged catalytic converters.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Model-Free State Estimation Using Subspace Identification and Kalman Filter


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    WCX SAE World Congress Experience ; 2023



    Publication date :

    2023-04-11




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Extended Kalman Filter vs. Error State Kalman Filter for Aircraft Attitude Estimation

    Madyastha, V. / Ravindra, V. / Mallikarjunan, S. et al. | British Library Conference Proceedings | 2011


    Extended Kalman Filter vs. Error State Kalman Filter for Aircraft Attitude Estimation

    Madyastha, Venkatesh / Ravindra, Vishal / Mallikarjunan, Srinath et al. | AIAA | 2011


    Unscented Kalman filter for vehicle state estimation

    Antonov, S. | Online Contents | 2011


    Unscented Kalman filter for vehicle state estimation

    Antonov,S. / Fehn,A. / Kugi,A. et al. | Automotive engineering | 2011


    Unscented Kalman filter for vehicle state estimation

    Antonov, S. / Fehn, A. / Kugi, A. | Taylor & Francis Verlag | 2011