Gerenciamento Inteligente de Energia entre Baterias e Ultracapacitores em Veículos Elétricos Leves com Otimização por Enxame de Partículas

Márcio V. R. Campos; Joseph J. Kalil; Lucas Jonys R. Silva; Rodolpho V. A. Neves

doi:10.20906/sbse.v2i1.3074

Márcio V. R. Campos Departamento de Engenharia Elétrica, Universidade Federal de Viçosa, MG
Joseph J. Kalil Departamento de Engenharia Mecânica, Universidade Federal de Viçosa, MG
Lucas Jonys R. Silva Escola de Engenharia de São Carlos, Universidade de São Paulo, SP
Rodolpho V. A. Neves Departamento de Engenharia Elétrica, Universidade Federal de Viçosa, MG

DOI: https://doi.org/10.20906/sbse.v2i1.3074

Keywords: DC microgrid, Ultracapacitors, Optimization, Electric Vehicle, SAE formula

Abstract

This article presents the modeling of a DC microgrid formed by the integration of lithium batteries and a bank of ultracapacitors (UCs), applied in electric vehicles of the Formula SAE competition. A control strategy is applied for the proper management between the energy sources, in order to increase the cycling of the batteries and to explore the characteristics of the UCs, which have a high energy gradient to assist in the peaks of power events in the generation and braking regenerative energy while driving the vehicle. Computational tools were used to model the systems, collect electrical data and apply particle swarm optimization (PSO). The system simulated an improvement in battery energy consumption of more than 10% with less stress from electrical current peaks on the Piracicaba-SP track, where the SAE competitions take place.