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Details

  • Name

    Pedro Pascoal
  • Role

    Researcher
  • Since

    01st June 2023
003
Publications

2024

Optimized Design Methodology and Maximum Efficiency Tracking Algorithm for Static IPT Chargers in Electric Vehicles

Authors
Viera, LAB; Pascoal, P; Rech, C;

Publication
Eletrônica de Potência

Abstract
In recent years, technologies related to the electrification of transportation have attracted significant attention. Among these, wireless charging stands out, even facing numerous challenges concerning design and parameter optimization. Consequently, this article introduces a novel design methodology to improve the performance of inductive power transfer (IPT) systems for wireless charging applications in electric vehicles. The methodology considers operational limits of switches and passive components. By using a combination of Newton-Raphson and Particle Swarm Optimization (PSO) algorithms, the proposed approach efficiently determines both electrical and physical parameters of converters and coils to achieve maximum efficiency at a chosen operational point. Furthermore, a Maximum Efficiency Point Tracking (MEPT) algorithm is employed for optimal system operation. The proposed methodology is validated through experimental analysis using a 3.6 kW setup. Results demonstrate a power transfer efficiency around 89.4 %, while ensuring that current and voltage levels remain within safe operating areas for the components.

2023

Optimized Design Methodology in Inductive Power Transfer Systems Applied to Electric Vehicle Charging

Authors
Viera, A; Pascoal, PG; Rech, C;

Publication
COBEP 2023 - 17th Brazilian Power Electronics Conference and SPEC 2023 - 8th IEEE Southern Power Electronics Conference, Proceedings

Abstract
Technologies related to the transportation electrification have been gaining attention in recent years. One technology that stands out is wireless charging, which still presents numerous challenges in terms of design and optimization of parameters. This article proposes a design methodology for optimizing the performance of an inductive power transfer (IPT) for wireless charging of electric vehicles, taking into account operating limits. The proposed methodology uses a PSO (Particle Swarm Optimization) algorithm to find the design variables that maximize the eficiency. The methodology and the development of a 3.6 kW experimental setup are presented, resulting in a power transfer efficiency of 89.4 %. © 2023 IEEE.

2022

Projeto e Simulação das Bobinas de um Sistema de Transferência de Energia Sem Fio para Aplicação na Recarga de Veículos Elétricos

Authors
Pedro Gelati Pascoal; Leonardo A. Brum Viera; Cassiano Rech; Rafael Concatto Beltrame; Vitor Cristiano Bender;

Publication
Procedings do XXII Congresso Brasileiro de Automática - Procedings do XXIV Congresso Brasileiro de Automática

Abstract

2021

Análise e Projeto de um Sistema de Recarga de Veículos Elétricos através da Transferência de Energia sem Fio

Authors
VIERA, LAB; PASCOAL, PG; RECH, C; MEZAROBA, M;

Publication
Proceedings of the 13th Seminar on Power Electronics and Control (SEPOC 2021)

Abstract
O uso de meios de transporte elétricos está em plena expansão. Esse fato nos leva a implementação de novas tecnologias relacionadas ao seu método de carregamento. Atualmente, o carregamento sem fio, conhecido como sistema WPT (Wireless Power Transfer), está sendo amplamente estudado e implementado. Assim, este trabalho apresenta uma revisão bibliográfica dos principais aspectos e características desse sistema, além de seus estágios de operação. Com base nessas informações, é proposto o projeto de um carregador WPT de 5 kW operando em 85 kHz, respeitando os padrões previstos na norma SAE J2954. Por fim, o circuito é simulado para validação da metodologia de projeto.

2020

UTILIZAÇÃO DA APRENDIZAGEM BASEADA EM PROJETO (ABP) PARA O DESENVOLVIMENTO DE UM ROBÔ AUTÔNOMO PARA MAPEAMENTO DE AMBIENTES CONTROLADOS

Authors
Marquioro de Freitas, C; Gelati Pascoal, P; Noster Kurschner, V;

Publication
Proceedings of the XLVIII Brasilian Congress of Engineering Education

Abstract