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

Transportation Engineering Research Group (GIIT)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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
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	https://doi.org/10.1109/VPPC53923.2021.9699274
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

Conference

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/VPPC53923.2021.9699274

Cite this

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. In 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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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",

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language = "English",

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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. in 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, Spain, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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M3 - Conference contribution

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

PB - Institute of Electrical and Electronics Engineers Inc.

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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. In 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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