Abstract The increasing popularity of electric vehicles (EVs) has brought about the demand for high-quality charging services. Existing studies focus on overcoming the driving range limitation by introducing planned detours to charging stations, but served EV users still have to endure the time-consuming charging process. This paper aims to explore a novel personalized charging system to ease user impatience with charging duration. The personalized charging approach underlines individual preferences for charging station amenities and recommends charging stations offering preferable activities for EV users. In the proposed model, the preferences for charging station amenities can be inferred based on historical activity data using the tensor decomposition technique. With the obtained individual preference, the charging strategy design problem is formulated as a mixed-integer linear programming (MILP) model. Numerical experiments are conducted to demonstrate the benefits of the proposed personalized charging approach. We further apply emerging blockchain technology to enable reliable and transparent charging services. An implemented proof-of-concept prototype validates that the proposed system model is technically feasible and affordable.

    Highlights An EV charging approach considering implicit user preferences is introduced. A mathematical model is formulated for the personalized charging problem. A blockchain-enabled system is proposed to enable secure charging services. A proof-of-concept prototype is implemented to validate the proposed system model.


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    Title :

    A blockchain-enabled personalized charging system for electric vehicles


    Contributors:
    Li, Xinran (author) / Wang, Wei (author) / Jin, Kun (author) / Gu, Hao (author)


    Publication date :

    2024-02-28




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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