2022
DOI: 10.1080/15435075.2022.2057800
|View full text |Cite
|
Sign up to set email alerts
|

Design optimization with genetic algorithm of open slotted axial flux permanent magnet generator for wind turbines

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 19 publications
0
1
0
Order By: Relevance
“…Overall, the state of the art in AFPM machines is characterized by a continuous push for higher power density, improved efficiency, and lower cost [1]. As the demand for electric motors continues to grow, it is likely that we will see further advancements in AFPM technology in the coming years [2] The air gap flux permanent magnet (AFPM) machine is a promising technology that has gained significant attention in recent years due to its high torque density, compact size, and improved efficiency [3]. As the demand for higher power density and continuous operation under extreme conditions continues to rise, efficient cooling systems are crucial for managing the generated heat and ensuring optimal performance of AFPM machines.…”
Section: Introductionmentioning
confidence: 99%
“…Overall, the state of the art in AFPM machines is characterized by a continuous push for higher power density, improved efficiency, and lower cost [1]. As the demand for electric motors continues to grow, it is likely that we will see further advancements in AFPM technology in the coming years [2] The air gap flux permanent magnet (AFPM) machine is a promising technology that has gained significant attention in recent years due to its high torque density, compact size, and improved efficiency [3]. As the demand for higher power density and continuous operation under extreme conditions continues to rise, efficient cooling systems are crucial for managing the generated heat and ensuring optimal performance of AFPM machines.…”
Section: Introductionmentioning
confidence: 99%