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- W4352982016 abstract "The worldwide adoption of electric vehicles (EVs) is a trend encouraged by sustainable policies that a growing number of countries are supporting. Consequently, the EV charging market players is a concept that is receiving particular attention, in which the charging station operator (CPO) is the player responsible for the infrastructure of the public EV charging stations (EVCSs). On the other hand, the integration of distributed energy resources (DER) and EVs within the electrical system requires the development of algorithms that allow CPOs to manage renewable energy sources aiming to serve EV charging. Internet of Things (IoT) makes it possible to develop an IoT platform that can help with the integration of a smart charging algorithm with the CPO. In this paper, a characterization of the IoT-middleware DOJOT platform (developed by the Brazilian research center CPqD) combined with two softwares developed under a Brazilian R&D project has been realized. The software under development aims to generate monthly policies for price variation and power limits for EVCSs and to perform smart charging of EVs considering DERs. Additionally, The evaluation was made through the performance of the DOJOT IoT platform and the software according to the number of devices that must be processed, internet connection quality, and multiprocessing." @default.
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- W4352982016 date "2022-10-24" @default.
- W4352982016 modified "2023-10-14" @default.
- W4352982016 title "Evaluation of an IoT-based Smart Charging Algorithm for Electric Vehicles Considering Multiprocessing" @default.
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- W4352982016 doi "https://doi.org/10.1109/siot56383.2022.10070129" @default.
- W4352982016 hasPublicationYear "2022" @default.
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