Design optimization of switched reluctance machines for performance and reliability enhancements: A review

K Diao, X Sun, G Bramerdorfer, Y Cai, G Lei… - … and Sustainable Energy …, 2022 - Elsevier
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 …

A review of electric motors with soft magnetic composite cores for electric drives

Y Guo, X Ba, L Liu, H Lu, G Lei, W Yin, J Zhu - Energies, 2023 - mdpi.com
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 …

Distributionally robust dispatching of multi-community integrated energy system considering energy sharing and profit allocation

Z Siqin, DX Niu, MY Li, T Gao, Y Lu, X Xu - Applied Energy, 2022 - Elsevier
Community energy consumption accounts for a large proportion of total social energy
consumption. Therefore, community integrated energy systems have emerged to satisfy …

Machine learning for design optimization of electromagnetic devices: Recent developments and future directions

Y Li, G Lei, G Bramerdorfer, S Peng, X Sun, J Zhu - Applied Sciences, 2021 - mdpi.com
This paper reviews the recent developments of design optimization methods for
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 …

Optimal design of induction motors over driving cycles for electric vehicles

E Roshandel, A Mahmoudi, WL Soong… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Consideration of the overload (OL) performance of electric machines designed for EVs
enables increasing the power density of the propulsion system. This paper aims to show the …

Advancements in flux switching machine optimization: Applications and future prospects

CE Abunike, OI Okoro, AJ Far, SS Aphale - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Design and optimization technologies of permanent magnet machines and drive systems based on digital twin model

L Liu, Y Guo, W Yin, G Lei, J Zhu - Energies, 2022 - mdpi.com
One of the keys to the success of the fourth industrial revolution (Industry 4.0) is to empower
machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising …

Reliability-based robust optimization design for tolerance of aerospace thin-walled components based on surrogate model

D Xue, Y Li, H Zhang, X Tong, B Gao, J Yu - Advanced Engineering …, 2024 - Elsevier
In the manufacturing and assembly of aerospace thin-walled components (ATCs), the
rational optimization of part tolerances is crucial for improving the outer shape assembly …

Deep learning-based prediction of key performance indicators for electrical machines

V Parekh, D Flore, S Schöps - IEEE Access, 2021 - ieeexplore.ieee.org
The design of an electrical machine can be quantified and evaluated by Key Performance
Indicators (KPIs) such as maximum torque, critical field strength, costs of active parts, sound …