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:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Ingeniería energética
- Optimización matemática
Áreas temáticas:
- Física aplicada
- Otras ramas de la ingeniería