This chapter first briefly discusses the theoretical fundamentals of fuzzy logic and neural networks, and then introduces and summarizes characteristics of intelligent system approaches applied to vehicle power management. After thorough review of the basic theory of fuzzy logic and neural networks, the application of these methods to various types of vehicle configurations are reviewed. Then, the fuzzy logic and slide mode control are demonstrated for the fuel optimization for series, parallel, series–parallel, and complex hybrid vehicles. Finally, the application of fuzzy logic and slide mode control are used to optimize the regenerative braking of a parallel hybrid vehicle.


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    Title :

    Intelligent System Approaches for Vehicle Power Management


    Additional title:

    Power Systems


    Contributors:
    Zhang, Xi (author) / Mi, Chris (author)

    Published in:

    Vehicle Power Management ; Chapter : 7 ; 209-257


    Publication date :

    2011-08-11


    Size :

    49 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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