A Study on the Optimal Design of PMa-SynRM for Electric Vehicles Combining Random Forest and Genetic Algorithm
This paper proposes a method that combines random forest technology (RF) and a genetic algorithm (GA) for optimal design of traction motors for electric vehicles (EVs). The target motor is a permanent magnet assisted synchronous reluctance motor (PMa-SynRM), for which the design goal is to increase...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2023-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10131897/ |
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