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

doi:10.1109/VPPC53923.2021.9699274

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

Grupo de Investigación en Ingeniería Del Transporte (GIIT)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665405287
DOI	https://doi.org/10.1109/VPPC53923.2021.9699274
Estado	Publicada - 1 ene. 2021
Evento	18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - Virtual, Gijon, Espana Duración: 25 oct. 2021 → 28 oct. 2021

Serie de la publicación

Nombre	2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS

Conferencia

Conferencia	18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021
País/Territorio	Espana
Ciudad	Virtual, Gijon
Período	25/10/21 → 28/10/21

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Publisher Copyright:
© 2021 IEEE.

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10.1109/VPPC53923.2021.9699274

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Valladolid, J. D., Patino, D., Gruosso, G., & Espinoza, F. (2021). Study on the Torque-Speed Allocation on PMSM to Improve Energy Efficiency in Electric Vehicles Using Metaheuristic Optimization. En 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS (2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VPPC53923.2021.9699274

Valladolid, Juan D. ; Patino, Diego ; Gruosso, Giambattista et al. / Study on the Torque-Speed Allocation on PMSM to Improve Energy Efficiency in Electric Vehicles Using Metaheuristic Optimization. 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS).

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title = "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.",

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

author = "Valladolid, {Juan D.} and Diego Patino and Giambattista Gruosso and Fabricio Espinoza",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021 ; Conference date: 25-10-2021 Through 28-10-2021",

year = "2021",

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doi = "10.1109/VPPC53923.2021.9699274",

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Valladolid, JD, Patino, D, Gruosso, G & Espinoza, F 2021, Study on the Torque-Speed Allocation on PMSM to Improve Energy Efficiency in Electric Vehicles Using Metaheuristic Optimization. En 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS. 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS, Institute of Electrical and Electronics Engineers Inc., 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021, Virtual, Gijon, Espana, 25/10/21. https://doi.org/10.1109/VPPC53923.2021.9699274

Study on the Torque-Speed Allocation on PMSM to Improve Energy Efficiency in Electric Vehicles Using Metaheuristic Optimization. / Valladolid, Juan D.; Patino, Diego; Gruosso, Giambattista et al.
2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Valladolid, Juan D.

AU - Patino, Diego

AU - Gruosso, Giambattista

AU - Espinoza, Fabricio

PY - 2021/1/1

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N2 - 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.

AB - 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.

KW - Competitive Swarm Optimization

KW - Electric vehicle

KW - Energy efficiency

KW - Metaheuristic algorithms

KW - Particle Swarm Optimization

KW - Permanent-magnet synchronous motor (PMSM)

KW - Surface optimization

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T3 - 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS

BT - 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021

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Valladolid JD, Patino D, Gruosso G, Espinoza F. Study on the Torque-Speed Allocation on PMSM to Improve Energy Efficiency in Electric Vehicles Using Metaheuristic Optimization. En 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS). doi: 10.1109/VPPC53923.2021.9699274

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

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