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.

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

Gruosso G.;
2021-01-01

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.
2021
2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS
978-1-6654-0528-7
Competitive Swarm Optimization
Electric vehicle
Energy efficiency
Metaheuristic algorithms
Particle Swarm Optimization
Permanent-magnet synchronous motor (PMSM)
Surface optimization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1205354
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