Global optimization oriented energy control algorithms can improve fuel economy of HEV for certain driving cycle. But it can't be used for the other driving cycles. This paper built a adaptive energy control strategy based on driving cycle recognition. Through driving cycle and microtrip studying, analysis was made on characteristic parameters of driving cycles, based on which, ten parameters oriented algorithm for driving cycle LVQ neural net recognition are proposed. The simulation result shows that the precision of driving cycle recognition is very good.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driving cycle recognition for hybrid electric vehicle


    Contributors:
    Xing, Jie (author) / Han Xuefeng, (author) / Ye Hui, (author) / Cui Yan, (author) / Ye Huiping, (author)


    Publication date :

    2014-08-01


    Size :

    1549516 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Control strategy of fuel cell hybrid electric vehicle based on driving cycle recognition

    Ravey, Alexandre / Blunier, Benjamin / Lukic, Srdjan et al. | IEEE | 2012



    Fuzzy energy management strategy for a hybrid electric vehicle based on driving cycle recognition

    Wu, J. / Zhang, C. H. / Cui, N. X. | British Library Online Contents | 2012



    Driving scenario recognition for advanced hybrid electric vehicle control

    Veeraraghavan, Amirthalakshmi / Bhave, Ajinkya / Adithya, Viswa et al. | IEEE | 2017