HEV energy management strategy acquired a lot of attention due to the rapid growth of New Energy Vehicle (NEV) and Intelligent and Connected Vehicles (ICV). In this study, the vehicle was modelled in GT-suit and simulated with dynamic programming (DP) strategy, the result shows that the relationship between the state of charge (SOC) curve and the driving distance was approximately linear. Then a simplified network-based piece-wise linear equivalent fuel consumption minimization strategy (PLF-ECMS) is designed and applied to the HEV in road test. Finally, the experimental result shows that based on the trajectory and traffic information, the fuel consumption potential of PWL-ECMS was outstanding. The test result of vehicle fuel consumption with network information can be 37.8% lower than without network information when E-Drive remaining distance around 65% of total driving distance.


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    Titel :

    Hybrid Electric Vehicle Energy Management Based on Network Technology


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Yin, Chengliang (Autor:in) / Jiang, Dongdong (Autor:in) / Qin, Wengang (Autor:in) / Zhang, Yong (Autor:in)

    Kongress:

    Vehicle Electrification and Powertrain Diversification Technology Forum Part I ; 2021



    Erscheinungsdatum :

    2021-12-31




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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