Abstract Driving cycles greatly influence the fuel economy and exhaust of the vehicle, especially in hybrid electric vehicles. The purpose of this study is to develop a method to identify the type of driving cycle with better accuracy and less sampling time than other driving cycle recognition algorithms. A driving cycle recognition algorithm based on Learning Vector Quantization neural network is first created to analyze four selected representative standard driving cycles. Micro-trip extraction and box-and-whisker plots are then applied to ensure the diversity and magnitude of training samples. Finally, a sample training simulation is conducted to determine the minimum neuron number of learning vector quantization network, using the simulation platform of Matlab/Simulink. Afterwards, we simplify the structure of the recognition model to reduce data convergence time. Simulation results show the feasibility and efficiency of the proposed algorithm, which decreases the time window length from 120 s to 60 s with acceptable accuracy. Furthermore, the driving cycle recognition algorithm is used in a series-parallel hybrid vehicle model to improve the fuel economy by about 6.29%.


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    Title :

    Driving cycle recognition neural network algorithm based on the sliding time window for hybrid electric vehicles


    Contributors:
    Wang, J. (author) / Wang, Q. N. (author) / Zeng, X. H. (author) / Wang, P. Y. (author) / Wang, J. N. (author)


    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English


    Classification :

    BKL:    55.20$jStraßenfahrzeugtechnik / 55.20 Straßenfahrzeugtechnik



    Driving cycle recognition neural network algorithm based on the sliding time window for hybrid electric vehicles

    Wang, J. / Wang, Q. N. / Zeng, X. H. et al. | British Library Online Contents | 2015



    LVQ Neural Network Based Driving Cycles Recognition for Hybrid Electric Vehicles

    Xu, S.J. | British Library Conference Proceedings | 2013


    Driving cycle recognition for hybrid electric vehicle

    Xing, Jie / Han Xuefeng, / Ye Hui, et al. | IEEE | 2014


    SLIDING WINDOW FOR VEHICLES

    FRANCHI GIUSEPPE / FRANCHI SIMONE | European Patent Office | 2023

    Free access