The scientific planning and optimal management of charging facilities of electric vehicles (EVs) need to identify the charging demand in advance. In order to ensure the stability of the power grid and meet the charging demand of EVs effectively in some urban transport hubs, it is important to estimate the charging demand. Combined with the timetable of high-speed railway hub, this paper considers some typical factors that affect charging demand and charging characteristics. A method based on Monte Carlo simulation for estimating the charging demand of EVs in high-speed railway hub is proposed. To verify the effectiveness of this method, a case study of Beijing South Railway Station is carried out. Results show that this method can estimate the charging demand at high-speed railway hub well. Factors such as, the market share of EV, the arrival state of charge, the charging power of the charging pile, and the battery capacity can cause significant changes in the daily charging power of the hub. Finally, suggestions are further presented for charging station at the Beijing South Railway Station.


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    Title :

    Charging Demand Estimation for EVs in Urban Transport Hub: A Case Study of Beijing South Railway Station


    Contributors:
    Jingtao, Chen (author) / Meng, Xu (author)


    Publication date :

    2022-11-11


    Size :

    751359 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English