[HTML][HTML] China's battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs

H He, F Sun, Z Wang, C Lin, C Zhang, R ** new energy vehicles has been a worldwide consensus, and develo** new
energy vehicles characterized by pure electric drive has been China's national strategy …

An overview of artificial intelligence applications for power electronics

S Zhao, F Blaabjerg, H Wang - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
This article gives an overview of the artificial intelligence (AI) applications for power
electronic systems. The three distinctive life-cycle phases, design, control, and maintenance …

A review of axial flux permanent magnet machine technology

FNU Nishanth, J Van Verdeghem… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Axial flux permanent magnet machines (AFPM) are popular for applications that benefit from
high torque density and an axially compact form factor, such as in-wheel traction drives …

Control technologies of wastewater treatment plants: the state-of-the-art, current challenges, and future directions

M Faisal, KM Muttaqi, D Sutanto, AQ Al-Shetwi… - … and Sustainable Energy …, 2023 - Elsevier
Existing pieces of literature on previous studies advocate the research focus by various
researchers to reach the benchmark of energy efficiency of Wastewater Treatment Plants …

[HTML][HTML] State of the art of additively manufactured electromagnetic materials for topology optimized electrical machines

H Tiismus, A Kallaste, T Vaimann, A Rassõlkin - Additive Manufacturing, 2022 - Elsevier
Metal additive manufacturing (AM) technology is maturing. Although currently slower and
less reliable than traditional production methods, AM systems shine when producing parts …

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 …

[HTML][HTML] Robust design optimization and emerging technologies for electrical machines: Challenges and open problems

T Orosz, A Rassõlkin, A Kallaste, P Arsénio, D Pánek… - Applied Sciences, 2020 - mdpi.com
The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical
machines. However, from the mathematical point of view, these problems belong to the most …

Multiobjective and multiphysics design optimization of a switched reluctance motor for electric vehicle applications

X Sun, B Wan, G Lei, X Tian, Y Guo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Switched reluctance motors (SRMs) have attracted much attention in industry due to the
advantages of low cost, robust structure, high fault tolerance and high torque density …

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 …

Roadmap on artificial intelligence and big data techniques for superconductivity

M Yazdani-Asrami, W Song, A Morandi… - Superconductor …, 2023 - iopscience.iop.org
This paper presents a roadmap to the application of AI techniques and big data (BD) for
different modelling, design, monitoring, manufacturing and operation purposes of different …