Design and Analysis of New Asynchronous Motor Type for Electric Vehicle

Yan, Yong; Wang, Shimin; Yang, Tao; Meng, Xiangyu

doi:10.20965/jaciii.2020.p0908

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The right choice of the motor is critically important since it provides the EV with the needed torque. DC motors, asynchronous motors, synchronous motors and switched reluctance motors are used in EVs [ 7 , 8 ]. Asynchronous motors fall behind permanent magnet machines in power density, although they are easy to manufacture and require less maintenance [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Design and optimization of a high-performance multi-barrier IPMS motor for an electric scooter and bicycle

Gör,

Dalcalı

2024

R. Soc. Open Sci.

View full text Add to dashboard Cite

Acknowledging the growing importance of electric vehicles (EVs) in the face of environmental concerns and increasing mobility needs, this study focuses on enhancing the performance of the electric motor, a critical component in EVs. The electric motor of these battery-powered vehicles is expected to have optimal characteristics and efficiency. This paper presents a comprehensive investigation into the design and optimization of a multi-barrier interior permanent magnet synchronous motor tailored for e-scooters and electric bicycles. A multi-barrier rotor structure is proposed and analysed through finite element method simulations to optimize key design parameters. The parametric analysis examines the influence of geometric variables on key motor performance criteria, including efficiency, cogging torque and weight. A correlation analysis of the variables was conducted. A very high positive correlation (0.999) was revealed, especially between the ‘magnet duct dimension parameter’ and efficiency. A very high negative correlation (−1) was found between ‘distance from duct bottom to shaft surface’ and efficiency. The optimized motor design achieves a theoretical improvement of around 7% in efficiency, reaching an overall efficiency of 89.86%. This study highlights the consideration of multiple factors such as efficiency, cogging torque and weight in the design process for the development of sustainable and high-performance EV motor designs.

show abstract

Section: Introductionmentioning

confidence: 99%