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Article

Performance Optimization of a High-Speed Permanent Magnet Synchronous Motor Drive System for Formula Electric Vehicle Application

1
Department of Electrical Power Engineering and Mechatronics, School of Engineering, Tallinn University of Technology, 19086 Tallinn, Estonia
2
Department of Mechanical and Industrial Engineering, School of Engineering, Tallinn University of Technology, 19086 Tallinn, Estonia
3
Department of Computer Systems, School of Information Technologies, Tallinn University of Technology, 19086 Tallinn, Estonia
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(10), 3156; https://doi.org/10.3390/s25103156 (registering DOI)
Submission received: 29 March 2025 / Revised: 10 May 2025 / Accepted: 16 May 2025 / Published: 16 May 2025
(This article belongs to the Special Issue Cooperative Perception and Control for Autonomous Vehicles)

Abstract

The proliferation of electric vehicle (EV) racing competitions, such as Formula electric vehicle (FEV) competitions, has intensified the quest for high-performance electric propulsion systems. High-speed permanent magnet synchronous motors (PMSMs) for FEVs necessitate an optimized control strategy that adeptly manages the complex interplay between electromagnetic torque production and minimal power loss, ensuring peak operational efficiency and performance stability across the full speed range. This paper delves into the optimization of high-speed PMSM, pivotal for its application in FEVs. It begins with a thorough overview of the FEV motor’s basic principles, followed by the derivation of a detailed mathematical model that lays the groundwork for subsequent analyses. Utilizing MATLAB/Simulink, a simulation model of the motor drive system was constructed. The proposed strategy synergizes the principles of maximum torque per ampere (MTPA) with the flux weakening control technique instead of conventional zero direct axis current (ZDAC), aiming to push the boundaries of motor performance while navigating the inherent limitations of high-speed operation. Covariance matrix adaptation evolution strategy (CMA-ES) was deployed to determine the optimal d-q axis current ratio achieving maximum operating torque without overdesign problems. The implementation of the optimized control strategy was rigorously tested on the simulation model, with subsequent validation conducted on a real test bench setup. The outcomes of the proposed technique reveal that the tailored control strategy significantly elevates motor torque performance by almost 22%, marking a pivotal advancement in the domain of high-speed PMSM.
Keywords: permanent magnet synchronous motor; MTPA; vector control; ZDAC permanent magnet synchronous motor; MTPA; vector control; ZDAC

Share and Cite

MDPI and ACS Style

Ibrahim, M.; Järg, O.; Seppago, R.; Rassõlkin, A. Performance Optimization of a High-Speed Permanent Magnet Synchronous Motor Drive System for Formula Electric Vehicle Application. Sensors 2025, 25, 3156. https://doi.org/10.3390/s25103156

AMA Style

Ibrahim M, Järg O, Seppago R, Rassõlkin A. Performance Optimization of a High-Speed Permanent Magnet Synchronous Motor Drive System for Formula Electric Vehicle Application. Sensors. 2025; 25(10):3156. https://doi.org/10.3390/s25103156

Chicago/Turabian Style

Ibrahim, Mahmoud, Oskar Järg, Raigo Seppago, and Anton Rassõlkin. 2025. "Performance Optimization of a High-Speed Permanent Magnet Synchronous Motor Drive System for Formula Electric Vehicle Application" Sensors 25, no. 10: 3156. https://doi.org/10.3390/s25103156

APA Style

Ibrahim, M., Järg, O., Seppago, R., & Rassõlkin, A. (2025). Performance Optimization of a High-Speed Permanent Magnet Synchronous Motor Drive System for Formula Electric Vehicle Application. Sensors, 25(10), 3156. https://doi.org/10.3390/s25103156

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