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Smart Recharge Algorithm for Electric Vehicles Considering the Integration of Distributed Electrical Resources: Microservice for IoT Electromobility Platforms

Grant number: 20/13002-5
Support Opportunities:Scholarships in Brazil - Master
Effective date (Start): October 01, 2021
Effective date (End): October 29, 2023
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal Investigator:Marcos Julio Rider Flores
Grantee:Lucas Zenichi Terada
Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:15/21972-6 - Optimization of the operation and planning in transmission and distribution systems, AP.TEM
Associated scholarship(s):22/09171-1 - Design of a predictive model for electric vehicle smart charging based on cloud data, BE.EP.MS


In the context of the electric mobility research and development (R&D) project managed by CPFL and coordinated by the CPqD Foundation, called Platform for Intelligent Urban Environments and Enabling Business Models, one of the most important activities is the management and orchestration of distributed and centralized resources to provide smart recharge services for electric vehicles in the Campinas region. Therefore, this research project has as its initial objective the development of a hierarchical control algorithm for smart management of distributed electrical resources (DERs) and charging stations (CSs) that can be monitored and controlled through the Internet of Things (IoT) platform of the R&D Project. On the other hand, the project also contemplates the development of a centralized control for the definition of policies for: DERs operating limit, price signs for CSs, and navigation of the long-term operation. Finally, the software prototype of the hierarchical algorithm will be integrated into the IoT platform of the R&D project and computational efficiency, scalability, and functionalities of the accepted algorithm.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
TERADA, LUCAS ZENICHI; LOPEZ, JUAN CAMILO; GUZMAN, CINDY P.; RIDER, MARCOS J.; DA SILVA, LUIZ C. P.; IEEE. Evaluation of an IoT-based Smart Charging Algorithm for Electric Vehicles Considering Multiprocessing. 2022 SYMPOSIUM ON INTERNET OF THINGS, SIOT, v. N/A, p. 4-pg., . (19/01906-0, 20/13002-5, 21/11380-5)

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