The efficiency of regenerative braking energy recovery in electric vehicles is closely related to their operational performance, a BLSTM model was established to calculate the differences in energy consumption of electric vehicles under different driving styles, and the specific energy consumption of electric vehicles was judged according to the differences in energy consumption. The IIDP algorithm calculates the recovery efficiency of regenerative braking energy in electric vehicles and selects the most suitable recovery strategy. Combined with the IIDP-BLSTM model, it analyzes regenerative braking energy recovery strategies based on driving styles. Error test and simulation comparison experiment proved that the IIDP-BLSTM model studied in this paper had stronger energy saving in regenerative braking energy recovery of electric vehicles. And has good optimization performance.


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    Titel :

    Research on regenerative braking energy recovery strategy of electric vehicle based on driving style


    Beteiligte:
    Li, Shengqing (Herausgeber:in) / Hu, Bin (Herausgeber:in) / Xu, Zhiqiang (Autor:in)

    Kongress:

    International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024) ; 2024 ; Haikou, China


    Erschienen in:

    Proc. SPIE ; 13445


    Erscheinungsdatum :

    11.12.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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