Electromagnetic Parameters of IPM Motors based on the Genetic Algorithm Technique

Authors

  • Quang Nguyen Duc Faculty of Electrical Engineering, Electric Power University, Ha Noi, Vietnam
  • Thang Nguyen Duy School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam
  • Trinh Truong Cong School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam
  • Nam Le Hai School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam
  • Duong Doan Le Quy School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam
  • Vuong Dang Quoc School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam
  • Dinh Bui Minh School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam
Volume: 15 | Issue: 3 | Pages: 23855-23861 | June 2025 | https://doi.org/10.48084/etasr.10559

Received: 13 February 2025 | Revised: 21 March 2025 | Accepted: 2 April 2025 | Online: 4 June 2025


Corresponding author: Dinh Bui Minh

Abstract

Interior Permanent Magnet Synchronous Motors (IPMSM) are increasingly utilized across various fields as a result of their superior performance and high power density. To ensure efficient operation in electric vehicles and industrial applications, these motors have to meet the stringent performance objectives of low vibration. This study proposes an optimization method based on Genetic Algorithm (GA) techniques to minimize losses and material costs. First, an analytical model is developed to determine the required parameters for an IPM motor with five pole pairs, 15 slots, and a power rating of 7.5 kW. Subsequently, the GA is implemented using the analytical model to optimize the electromagnetic parameters of the IPM motor. Finally, the Finite Element Method (FEM) is applied to simulate the parameters obtained from the analytical model and GA. The results before and after optimization, including material cost functions, total losses, and motor outputs, were compared to validate the proposed method.

Keywords:

Interior Permanent Magnet Synchronous Motor (IPMSM), GA, cogging torque, torque ripple, analytical model

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References

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How to Cite

[1]
Duc, Q.N., Duy, T.N., Cong, T.T., Hai, N.L., Le Quy, D.D., Dang Quoc, V. and Minh, D.B. 2025. Electromagnetic Parameters of IPM Motors based on the Genetic Algorithm Technique. Engineering, Technology & Applied Science Research. 15, 3 (Jun. 2025), 23855–23861. DOI:https://doi.org/10.48084/etasr.10559.

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Copyright (c) 2025 Quang Nguyen Duc, Thang Nguyen Duy, Trinh Truong Cong, Nam Le Hai, Duong Doan Le Quy, Vuong Dang Quoc, Dinh Bui Minh

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