Optimal Design of an Interior Permanent Magnet Synchronous Motor for Electric Vehicle Applications Using a Machine Learning-Based Surrogate Model

This paper presents an innovative design for an interior permanent magnet synchronous motor (IPMSM), targeting enhanced performance for electric vehicle (EV) applications. The proposed motor features a double V-shaped rotor structure with irregular ferrite magnets embedded in the slots between the p...

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Hlavní autoři:	Song Guo, Xiangdong Su, Hang Zhao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-08-01
Edice:	Energies
Témata:	interior permanent magnet synchronous motor optimization machine learning
On-line přístup:	https://www.mdpi.com/1996-1073/17/16/3864
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