Few of the challenges with development of a single on-board motor for direct-drive electric
vehicles include high torque density and low torque ripple. Therefore, in this paper, a 36 …

The requirements of high efficiency, power density, and low price for the motor of electric
vehicles (EVs) make the design of the driving motor become a process of multi‐objective …

Featured Application Optimal design of PMSM for electric vehicle. Abstract Recently, a large
amount of research on deep learning has been conducted. Related studies have also begun …

To obtain accurate optimal design results in electric machines, the finite element analysis
(FEA) technique should be used; however, it is time-consuming. In addition, when the …

Featured Application Optimal design of permanent magnet synchronous motors (PMSMs)
used in electric compressors in electric vehicles. Based on the proposed optimization …

Wind turbines are one of the most rapid growing and promising technologies for renewable
power generation today. However, the share of wind energy in the global energy mix is …

Convolutional Neural Networks (CNNs) and Deep Learning (DL) revolutionized numerous
research fields including robotics, natural language processing, self-driving cars, healthcare …

The electrical machine design method plays a decisive role in electric vehicles (EVs).
However, only a few designs consider the coupling of multiple fields simultaneously. This …

Nowadays, vehicles based on electric charge and operation due to the motor are more
prevalent in use due to their superiority in zero-emission, lowest noise, higher power density …

Nowadays, vehicles based on electric charge and operation due to the motor are more
prevalent in use due to their superiority in zero-emission, lowest noise, higher power density …