Multi-objective optimization of a hybrid excitation generator with a paralel magnetic circuit based on the coupling of dual optimization algorithms

• Autorzy: Sun Tingjun , Hu Wenjing , Meng Fanxi , Wu Jinke , Liu Yixin , Geng Huihui , Liu Weitao , Wang Wei

Identyfikatory

DOI

10.24425/aee.2025.153016

• Języki publikacji: EN

Abstrakty

EN

The coaxial parallel magnetic circuit dual-rotor hybrid excitation structure generator exhibits several advantages, including high output performance, a wide adjustment range, and excellent stability. This study introduces a topology for a parallel magnetic circuit hybrid excitation generator (PMC-HEG) that utilizes a combination of permanent magnet and electrical excitation. It features salient pole rotors and claw pole rotors, with the latter embedded with permanent magnets, sharing a common stator. The analysis of the rotor magnetic field is conducted using both the equivalent magnetic circuit method and the subdomain method. Through an examination of the generator’s electromagnetic performance, key rotor parameters related to optimization objectives are identified. Finite element simulation analysis is performed on the rotor parameters, employing various optimization algorithms to enhance the salient pole and claw pole rotors, focusing on the amplitude of the induced electromotive force and the distortion rate of the induced electromotive force as optimization targets. The final optimized parameter values are obtained. A prototype is fabricated and tested, with experimental results confirming the reliability of the optimization method. The optimized parallel magnetic circuit hybrid excitation generator demonstrates an increase in the amplitude of the induced electromotive force, an improvement in the fundamental wave of the induced electromotive force, a reduction in harmonic distortion rate, and a significant enhancement in overall output performance.

Słowa kluczowe

EN

hybrid excitation generator; parallel magnetic circuit; evolutionary algorithm; response surface methodology; multi-objective optimization

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2025
• Tom: Vol. 74, nr 1
• Strony: 127--149
• Opis fizyczny: Bibliogr. 25 poz., fot., rys., tab., wykr., wz.

Twórcy

autor

Sun Tingjun

• Shandong Remote Bento New Energy Vehicle Co Taian 271200, China

autor

Hu Wenjing

• School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China

autor

Meng Fanxi

• Shandong Remote Bento New Energy Vehicle Co Taian 271200, China

autor

Wu Jinke

• Shandong Remote Bento New Energy Vehicle Co Taian 271200, China

autor

Liu Yixin

• School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China

autor

Geng Huihui

• School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China

autor

Liu Weitao

• School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China

autor

Wang Wei

• School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).