We propose the optimal slip ratio estimation method based on fuzzy inference. One of the advantages of electric vehicle is the quick and precise torque response of the electric motor, which realizes a novel traction control system. To prevent wheel skid, an optimal slip ratio control has been developed. It maintains the slip ratio to the optimal value which gives the maximum driving force. The remaining problem is how to generate the optimal slip ratio command to the controller. First, we show that the effective estimation of the optimal slip ratio is difficult for a simple gradient method. Various knowledge obtained by experiments can be easily installed into fuzzy inference. Therefore, its estimation performance can be easily improved by accumulation of human experiences. This is an advantage in nonlinear estimation of actual road-tire characteristics. The effectiveness of the proposed estimation and control methods is confirmed by numerical simulation.


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    Title :

    Optimal slip ratio estimator for traction control system of electric vehicle based on fuzzy inference


    Additional title:

    Titel japanisch


    Contributors:
    Kataoka, H. (author) / Sado, H. (author) / Sakai, S. (author) / Hori, Y. (author)


    Publication date :

    2000


    Size :

    6 Seiten, 11 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    Japanese