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

  • Márcio V. R. Campos Departamento de Engenharia Elétrica, Universidade Federal de Viçosa, MG
  • Lucas Jonys R. Silva Escola de Engenharia de São Carlos, Universidade de São Paulo, SP
  • Thales A. Fagundes Escola de Engenharia de São Carlos, Universidade de São Paulo, SP
  • Rodolpho V. A. Neves Departamento de Engenharia Elétrica, Universidade Federal de Viçosa, MG
  • Joseph J. Kalil Departamento de Engenharia Mecânica, Universidade Federal de Viçosa, MG
  • Ricardo Q. Machado Escola de Engenharia de São Carlos, Universidade de São Paulo, SP>
Keywords: DC microgrid, Ultracapacitors, Optimization, Electric Vehicle, SAE formula

Abstract

This paper presents the modelling of a DC microgrid powered by ion-lithium batteries and a bank of ultracapacitors (UCs), and used as power source in electric vehicles of the Formula SAE competition. The control strategy is implemented for the proper management between the energy sources, to reduce battery degradation and to explore the characteristics of the UCs, which have a high energy gradient to support the power peaks during the acceleration and braking regenerative energy while driving the vehicle. Additionally, computational tools were used to model the power plant, collect electrical data and apply particle swarm optimization (PSO). Finally, the simulations showed a reduction of the battery energy consumption (greater than 10%) with a lesser level of current stress (current peaks) on the Piracicaba-SP track, where the SAE competitions take place.
Published
2022-10-19
Section
Articles