At present, the number of automobiles in China is growing faster and faster, which brings serious problems such as energy consumption and environmental pollution. Therefore, it is very important to study new energy vehicle technology. In this study, we study the selection and parameter matching of different parts of the power system of the mild electric vehicle, and optimize the parameter matching of the power system of the hybrid electric vehicle by using the whole vehicle model and simulation experiment. In the parameter matching analysis, it mainly studies the parameter matching of engine, drive motor and battery, and analyzes the key points of transmission selection. Through parameter matching and model simulation, it completes the optimization design of hybrid electric vehicle power system.


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    Titel :

    Research on Parameter Matching and Optimization of Hybrid Electric Vehicle Power System


    Beteiligte:
    Wu, Zexu (Autor:in) / Wang, Zhao (Autor:in) / Zhang, Junhan (Autor:in)

    Kongress:

    ECITech 2022 - The 2022 International Conference on Electrical, Control and Information Technology ; 2022 ; Kunming, China


    Erschienen in:

    Erscheinungsdatum :

    01.01.2022


    Format / Umfang :

    6 pages



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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