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    Study on State Parameters Estimation for Commercial Vehicle

    Study on State Parameters Estimation for Commercial Vehicle


    Vehicle mass and road gradient are the important parameters for engine torque control, transmission shift scheduling and vehicle longitudinal control. It will add manufacturing cost to use more sensors to obtain these values. Therefore, there is increasing concern on the estimation methods of vehicle mass and road gradient based on the vehicle model. In this paper, on the premise of no additional sensors, the engine torque, engine speed, velocity, acceleration/brake/clutch pedal signals and gear from the CAN bus are used as the original data. The estimation methods of vehicle mass and road gradient are studied by applying vehicle dynamic, Luenberger state observer and Recursive Least Square with varying forgetting factors. Furthermore, the real time estimation arithmetic is validated through dSPACE/MicroAutoBox system on FAW J5 commercial vehicle.

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    Titel :

    Study on State Parameters Estimation for Commercial Vehicle

    Weitere Titelangaben:

    Lect. Notes Electrical Eng.

    Beteiligte:
    Liu, Li (Autor:in) / Huang, Chaosheng (Autor:in) / Li, Yuanfang (Autor:in) / Shi, Shuming (Autor:in)
    Erschienen in:

    Proceedings of the FISITA 2012 World Automotive Congress ; Kapitel : 15 ; 143-155

    Lecture Notes in Electrical Engineering ; 194

    Erscheinungsdatum :

    2012-10-26

    Format / Umfang :

    13 pages

    ISBN :

    978-3-642-33829-8 , 978-3-642-33828-1

    ISSN :

    1876-1119 , 1876-1100

    DOI :

    https://doi.org/10.1007/978-3-642-33829-8_15

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Vehicle mass estimation , Road gradient estimation , State parameter , CAN BUS , Commercial vehicle Engineering , Automotive Engineering , Electronics and Microelectronics, Instrumentation , Programming Techniques , Multimedia Information Systems

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