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 language | English |
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Title of host publication | 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665405287 |
DOIs | |
State | Published - 1 Jan 2021 |
Event | 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - Virtual, Gijon, Spain Duration: 25 Oct 2021 → 28 Oct 2021 |
Publication series
Name | 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS |
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Conference
Conference | 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021 |
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Country/Territory | Spain |
City | Virtual, Gijon |
Period | 25/10/21 → 28/10/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Competitive Swarm Optimization
- Electric vehicle
- Energy efficiency
- Metaheuristic algorithms
- Particle Swarm Optimization
- Permanent-magnet synchronous motor (PMSM)
- Surface optimization