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

IF 3.4 3区 综合性期刊 Q2 CHEMISTRY, ANALYTICAL
Sensors Pub Date : 2025-05-16 DOI:10.3390/s25103156
Mahmoud Ibrahim, Oskar Järg, Raigo Seppago, Anton Rassõlkin
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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.

电动方程式汽车用高速永磁同步电机驱动系统性能优化。
随着电动汽车(EV)竞赛(如电动方程式赛车(FEV)竞赛)的兴起,人们对高性能电力推进系统的需求日益强烈。用于电动汽车的高速永磁同步电机(pmms)需要一种优化的控制策略,能够熟练地管理电磁扭矩产生和最小功率损耗之间的复杂相互作用,从而确保在全转速范围内的最高运行效率和性能稳定性。本文对高速永磁同步电机的优化问题进行了深入研究,这对高速永磁同步电机在fev中的应用至关重要。它开始与FEV电机的基本原理的全面概述,其次是一个详细的数学模型的推导,奠定了后续分析的基础。利用MATLAB/Simulink建立了电机驱动系统的仿真模型。该策略将最大转矩/安培(MTPA)原理与磁链弱化控制技术相结合,取代了传统的零直轴电流(ZDAC)控制技术,旨在突破电机性能的极限,同时克服高速运行的固有局限性。采用协方差矩阵自适应进化策略(CMA-ES)确定最佳d-q轴电流比,实现最大工作转矩,避免过度设计问题。在仿真模型上对优化控制策略的实施进行了严格测试,并在实际试验台上进行了后续验证。该技术的结果表明,定制的控制策略显着提高了电机转矩性能近22%,标志着高速永磁同步电机领域的关键进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sensors
Sensors 工程技术-电化学
CiteScore
7.30
自引率
12.80%
发文量
8430
审稿时长
1.7 months
期刊介绍: Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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