An accurate estimation of vehicle mass is important in automation of vehicle, vehicle following manoeuvres and traditional power train control schemes. It is easy for four-wheel-hub electric motor to get accurate speed signals and torque signals. Based on this feature we introduce a new algorithm for electric vehicle online-mass estimation by decoupling vehicle mass and road grade. In the Matlab/Simulink simulation environment we establish the new estimation algorithm model and an 18 degree of freedom vehicle model. We analyze the accuracy of this online-mass estimation method by changing the value of different parameters respectively, for example, different masses, different rolling resistances... This new mass estimation method is fast and reaches a high accuracy without extra sensors.


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    Title :

    Analysis of the Adaptation of a New Method for Four-Wheel-Hub Electric Vehicle Online-Mass Estimation


    Contributors:
    Zhang, Jin (author) / Yu, Zhuoping (author) / Xiong, Lu (author) / Feng, Yuan (author)


    Publication date :

    2012


    Size :

    12 Seiten





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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