The internet of things (IoT) is considered as one of the most important supporting technologies for the smart grid, which is considered as one of the most important application areas of the IoT. In the electric IoT, with the development of electric vehicles (EVs), effectively modeling road network becomes more and more important. In this paper, a road network model which captures the real-life road conditions better than previous models is introduced. Moreover, an awaiting time in the queue is taken into consideration before EVs being charged. Compared with minimum distance standard, the proposed time minimum standard and Dijkstra algorithm are adopted to track the path of the EVs. Finally, a velocity limitation of EV is considered in the simulations to embody the real-life road network.


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    Title :

    An Intelligent Charging Station Matching Method for Electric Vehicles in Internet of Things


    Contributors:
    Liu, Yu-Xi (author) / Zhao, Jia-Kui (author) / Ouyang, Hong (author) / Wang, Wen-Hong (author) / Wang, Shu-Long (author)


    Publication date :

    2013


    Size :

    5 Seiten




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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