This paper discusses the use of intelligent control techniques for the control of a parallel hybrid electric vehicle powertrain. Artificial neural networks and fuzzy logic are used to implement a load leveling strategy. The resulting vehicle control unit, a supervisory controller, coordinates the powertrain components. The presented controller has the ability to adapt to different drivers and driving cycles. This allows a control strategy which includes both fuel-economy and performance modes. The strategy was implemented on the Ohio State University FutureCar.


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    Title :

    Intelligent Control of Hybrid Vehicles Using Neural Networks and Fuzzy Logic


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    International Congress & Exposition ; 1998



    Publication date :

    1998-02-23




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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