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


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.

Año de publicación:

2021

Keywords:

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

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ingeniería energética
  • Optimización matemática

Áreas temáticas:

  • Física aplicada
  • Otras ramas de la ingeniería