Adaptive Speed Control Strategy for Minimizing Current Transients in Electric Vehicles

Authors

  • Luciano Bittencourt de Abreu Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal de Minas Gerais
  • Thales Alexandre Carvalho Maia Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal de Minas Gerais
  • Max Mauro Dias Santos Departamento de Engenharia Eletrônica, Universidade Tecnológica Federal do Paraná

Keywords:

Electric Vehicle (EV), Adaptive Speed Control, Permanent Magnet Motor (IPMSM), Energy Efficiency, Fuzzy Logic

Abstract

This study presents an adaptive speed control strategy based on fuzzy logic for an electric vehicle with a front-wheel drive permanent magnet synchronous motor (IPMSM). Using lithium-ion (Li-ion) batteries, the main objective was to minimize abrupt current transients. For validation, globally recognized driving cycles were adopted as references for energy management strategies. The computational simulations, conducted in MATLAB, focused on maintaining vehicle operation in high energy efficiency regions. The results indicate that the adaptive strategy was effective in reducing current transients and energy losses.

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Published

2024-10-18

Issue

Vol. 4 No. 1 (2024): CBA2024

Section

Articles