Modelo acoplado de conversores CC-CC bidirecionais para a microrrede CC de um veículo elétrico

  • 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, Batteries, Supercapacitors, Modeling, Electric Vehicle

Abstract

This paper presents the multiple input multiple output (MIMO) average model of a DC microgrid (DC MG) of an electric vehicle (EV) composed by two coupled DC-DC converters sharing power on the same bus. The model inputs are the battery voltage and the EV load profile, which represents the current required during accelerations and recharges on breaking process for driving on a specific lane.The four outputs of the model are obtained as linear combinations of the inputs through a gain matrix, whose elements are functions of the electrical parameters of the MG. The influence of parasitic resistances on the model response was also analyzed through the representation of gains in three-dimensional curves. The model is validated through simulations for three load profiles, including a driving cycle for EV Formula SAE (FSAE) on the Piracicaba-SP track. For all cycles, the average model presented errors of lesser than 5% in relation to the switched circuit of the MG. In this context, the parasitic resistances have a low level of influence on the model, showing small variations in the gain matrix as their values were varied. The developed model allows a more reliable analysis of the dynamic behavior of the MG state variables, which allows the design of control systems and sizing of the converters.
Published
2022-10-19
Section
Articles