This paper presents a design procedure for an adaptive power management control strategy based on a driving cycle recognition algorithm. The design goal of the control strategy is to minimize fuel consumption and engine -out NOx, HC and COe missions on a set of diversified driving schedules. Seven facility-specific drive cycles are considered to represent different driving scenarios. For each facility-specific drive cycle, the fuel economy and emission are optimized and obtained proper split between the two energy sources (engine and electric motor). A driving pattern recognition algorithm is subsequently developed and used to classify the current driving cycle in to one of the facility-specific drive cycles; thus, the most appropriate control algorithm is adaptively selected. This control scheme was tested on a typic al driving cycle and was found to work satisfactorily.


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    Title :

    An Intelligent Control Strategy in a Parallel Hybrid Vehicle


    Contributors:


    Publication date :

    2006-12-01


    Size :

    199794 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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