In order to provide a reference for EV travelers in charging route planning and charging station selection, a charging route selection model considering the impact of congestion on users' perception is established in this paper. Firstly, using the data obtained from the questionnaire survey, the MNL model is used to obtain the impact of congestion on users' perception of travel time. The results show that when the travel time is 10min, the user's mental travel time is 2.6 minutes longer than the actual travel time when the congestion degree increases by 1 level. Secondly, considering charging fee, parking fee, queuing time at the charging station and mental travel time from the starting point to the charging station and then to the destination, a charging route selection model aiming at minimizing the total charging cost is established. Taking the actual road network in typical areas of Beijing as an example, the charging route selection is carried out based on ant colony algorithm. The results show that the model is feasible and effective.


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    Titel :

    Charging route selection model of electric vehicles considering user perception


    Beteiligte:
    Mikusova, Miroslava (Herausgeber:in) / Feng, Mei (Autor:in) / Wei, Liying (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering (STCE 2023) ; 2023 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 13018 ; 130180S


    Erscheinungsdatum :

    14.02.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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