TORQUE PERFORMANCE OPTIMIZATION AND DESIGN OF PERMANENT MAGNET SYNCHRONOUS PITCH MOTOR BASED ON HYBRID GENETIC ALGORITHM

Sun Jingwei; Chen Qingwei; Guo Jie; Zhang Zhaohuan; Zhou Kaibing; Wu Tong

doi:10.19912/j.0254-0096.tynxb.2025-0655

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (9) : 680-689. DOI: 10.19912/j.0254-0096.tynxb.2025-0655

TORQUE PERFORMANCE OPTIMIZATION AND DESIGN OF PERMANENT MAGNET SYNCHRONOUS PITCH MOTOR BASED ON HYBRID GENETIC ALGORITHM

Sun Jingwei¹, Chen Qingwei², Guo Jie¹, Zhang Zhaohuan², Zhou Kaibing¹, Wu Tong¹

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Abstract

Addressing the demands of high torque density, low torque ripple for traction motors in new energy vehicles, this paper focuses on the design and optimization of interior permanent magnet synchronous motor （IPMSM）. First, the basic parameters of the motor are determined based on the vehicle's power requirements, and an initial structural design is completed. Finite element simulations are then conducted to analyze the magnetic field and torque characteristics, verifying the rationality of the proposed design. To address torque ripple issues, three mitigation measures are compared： rotor shaping, auxiliary slot opening, and stator slot optimization. Subsequently, a hybrid genetic algorithm （combining the Taguchi method with the genetic algorithm） is proposed for the multi-objective optimization of motor torque performance. This approach reduces cogging torque and torque ripple while simultaneously improving the average output torque, significantly enhancing optimization efficiency and effectiveness. The optimization results demonstrate that, with the genetic algorithm, the average torque is increased by 5.4%, the cogging torque is reduced by 17.27%, and the torque ripple is decreased by 12%. Experimental validation confirms that this method effectively suppresses torque ripple and improves the operational stability of the motor's pitch system, making it applicable to the design of pitch systems for wind turbines.

Key words

permanent magnet synchronous motor （PMSM） / hybrid genetic algorithm / Taguchi method / torque ripple suppression / torque performance optimization / cogging torque

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Sun Jingwei, Chen Qingwei, Guo Jie, Zhang Zhaohuan, Zhou Kaibing, Wu Tong. TORQUE PERFORMANCE OPTIMIZATION AND DESIGN OF PERMANENT MAGNET SYNCHRONOUS PITCH MOTOR BASED ON HYBRID GENETIC ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(9): 680-689 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0655

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