Study on the Torque-Speed Allocation on PMSM to Improve Energy Efficiency in Electric Vehicles Using Metaheuristic Optimization

Juan D. Valladolid, Diego Patino, Giambattista Gruosso, Fabricio Espinoza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This document presents a study about the possibility of increasing the energy efficiency of electric vehicles (EV) through torque-speed allocation in the electric motor. To define the optimization problem, a dynamic model of EV and a motor mapping performance using experimental tests was used. The simulation results are conducted in MATLAB/Simulink environment showed that when small variation $\delta$ (%0.5 to 2%) on torque and rotational speed can improve energy efficiency. In addition, the performance of the proposal of a torque-speed allocation strategy and optimization problem was determined by metaheuristics methods; the time required to find the best solution is within the sample rate interval.
Original languageEnglish
Title of host publication2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS
DOIs
StatePublished - 1 Jan 2021

Keywords

  • Competitive Swarm Optimization
  • Electric vehicle
  • Energy efficiency
  • Metaheuristic algorithms
  • Particle Swarm Optimization
  • Permanent-magnet synchronous motor (PMSM)
  • Surface optimization

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