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Design optimization of switched reluctance machines for performance and reliability enhancements: A review
Switched reluctance machines (SRMs) provide a potential candidate and a feasible solution
with increased interest for industrial applications due to their simple and rigid structure …
with increased interest for industrial applications due to their simple and rigid structure …
A review of electric motors with soft magnetic composite cores for electric drives
Electric motors play a crucial role in modern industrial and domestic applications. With the
trend of more and more electric drives, such as electric vehicles (EVs), the requirements for …
trend of more and more electric drives, such as electric vehicles (EVs), the requirements for …
Machine learning for design optimization of electromagnetic devices: Recent developments and future directions
This paper reviews the recent developments of design optimization methods for
electromagnetic devices, with a focus on machine learning methods. First, the recent …
electromagnetic devices, with a focus on machine learning methods. First, the recent …
Surrogate model-based multiobjective optimization of high-speed PM synchronous machine: Construction and comparison
J Gu, W Hua, W Yu, Z Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article employs surrogate models for large-scale high-speed (HS) electrical machine
optimization to reduce heavy computational burden caused by the finite-element method …
optimization to reduce heavy computational burden caused by the finite-element method …
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 …
electric vehicles, and the aerospace industry. Recent advancements have underscored their …
Robust design of BLDC motor considering driving cycle
With growing environmental concerns and the limitations of fuel cell resources, replacing
petrol-based engines with electric machines as the traction motor for electric vehicles (EVs) …
petrol-based engines with electric machines as the traction motor for electric vehicles (EVs) …
Robust model-free reinforcement learning based current control of pmsm drives
Data-driven control approaches of permanent magnet synchronous machines (PMSMs)
have gained significant attention due to their ability to eliminate reliance on analytical …
have gained significant attention due to their ability to eliminate reliance on analytical …
Design and optimization of electric vehicle traction motor considering rotor topology and manufacturing uncertainty
Y Cheng, L Ding, T Zhao, S Cui - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As one of the key issues of interior permanent magnet (IPM) motors in the matching of
electric vehicles (EVs), the design and optimization of the rotor are greatly fundamental. This …
electric vehicles (EVs), the design and optimization of the rotor are greatly fundamental. This …
Surrogate-based multi-objective optimization of flux-focusing Halbach Coaxial Magnetic Gear
Due to their contact-free and low-maintenance features, magnetic gears (MGs) have been
increasingly investigated to amplify the torque of electric motors in electric vehicles (EVs). In …
increasingly investigated to amplify the torque of electric motors in electric vehicles (EVs). In …
Methods to improve the cogging torque robustness under manufacturing tolerances for the permanent magnet synchronous machine
This article discusses a method to consider the effects of the manufacturing uncertainties on
the additional cogging torque harmonics. With this method, the sensitivity analysis can be …
the additional cogging torque harmonics. With this method, the sensitivity analysis can be …