The powertrain control strategy and the components sizing significantly affect the vehicle performance, cost and fuel economy. This paper presents a developed control strategy for optimizing the power sharing between sources and components sizing by using particle swarm optimization (PSO) algorithm. PSO method is a member of the wide category of Swarm Intelligence methods (SI). This control strategy implemented on Fuel cell/Battery hybrid electric vehicle with the aim to achieve the best performance with minimum fuel consumption and minimum powertrain components sizing for a given driving cycle. The powertrain and the proposed control strategy have been simulated by MATLAB/SIMULINK. The simulation results have demonstrated that the optimal sizing of the powertrain of Fuel cell/battery components and the minimum fuel consumption have been improved by applying the PSO control strategy.


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    Title :

    Optimal power sharing and design optimization for fuel cell/battery hybrid electric vehicles based on swarm intelligence


    Contributors:


    Publication date :

    2010


    Size :

    10 Seiten, 18 Bilder, 6 Tabellen, 15 Quellen


    Remarks:

    (nicht paginiert)


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English