Evaluation of an IoT-based Smart Charging Algorithm for Electric Vehicles Considering Multiprocessing

Autor(es)

Terada, Lucas Zenichi ; Lopez, Juan Camilo ; Guzman, Cindy P. ; Rider, Marcos J. ; da Silva, Luiz C. P. ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2022 SYMPOSIUM ON INTERNET OF THINGS, SIOT; v. N/A, p. 4-pg., 2022-01-01.

Resumo

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. (AU)

• Processo FAPESP: 19/01906-0 - Restauração ótima distribuída de sistema de distribuição de energia elétrica utilizando o algoritmo da direção alternada de multiplicadores de Lagrange
• Beneficiário: Juan Camilo Lopez Amezquita
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 20/13002-5 - Algoritmo de Recarga Inteligente de Veículos Elétricos Considerando a Integração de Recursos Elétricos Distribuídos: Microsserviço para Plataformas de Eletromobilidade IoT
• Beneficiário: Lucas Zenichi Terada
• Modalidade de apoio: Bolsas no Brasil - Mestrado
• Processo FAPESP: 21/11380-5 - CPTEn - Centro Paulista de Estudos da Transição Energética
• Beneficiário: Luiz Carlos Pereira da Silva
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Ciência para o Desenvolvimento