Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Flux switching machines play a crucial role in emerging sectors such as renewable energy, electric vehicles, and the aerospace industry. Recent advancements have underscored their potential for achieving high torque density, effective heat management, and flux-weakening capabilities. This paper prov...

Full description

Saved in:
Bibliographic Details
Published inIEEE access Vol. 11; pp. 110910 - 110942
Main Authors Abunike, Chiweta E., Okoro, Ogbonnaya I., Far, Aliakbar Jamshidi, Aphale, Sumeet S.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Aerospace industry
Algorithm design and analysis
Algorithms
Design engineering
Design optimization
electric machines
Electric vehicles
Energy efficiency
finite element analysis
Machine learning
Magnetic flux
Multiple objective analysis
Optimization
Permanent magnets
Prototypes
Renewable energy sources
Robustness
Rotors
Stator windings
Stators
Structural models
Switching
Torque
Windings
Online AccessGet full text

Cover

More Information
Summary:Flux switching machines play a crucial role in emerging sectors such as renewable energy, electric vehicles, and the aerospace industry. Recent advancements have underscored their potential for achieving high torque density, effective heat management, and flux-weakening capabilities. This paper provides a comprehensive review of the design optimization of these machines, offering a unique contribution, as no previous attempts have delved into a detailed exploration of various optimization techniques specific to this technology. Special attention is given to state-of-the-art technologies related to multi-objective optimization and the performance analysis of the three variants: permanent magnet, wound-field, and hybrid excited. The review highlights and compares several optimization strategies from recent research, revealing research gaps in integrating advanced control algorithms, thermal, vibroacoustic, and structural models into the optimization design process of these machines. Furthermore, this review identifies essential trends in optimization development, offering valuable insights and future perspectives for these machines across diverse applications.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3321862