Particle swarm optimization approach to optimal design of an AFPM traction  machine for different driving conditions

Naghi ROSTAMI

Makale detayları

Particle swarm optimization approach to optimal design of an AFPM traction machine for different driving conditions

Yazarlar:

Naghi ROSTAMI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.3234-3246

Belge Tipi:

Makale

Yayın Tarihi:

7/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000733916

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Axial flux permanent magnet (AFPM) machines can be employed as the traction motor of electric vehicles  due to their high torque capability, high efficiency, modular and compact construction, and capability of integration  with other mechanical components in integrated systems. Besides, the system efficiency can be further improved by  optimal design of the selected electric machine. In this paper, an AFPM machine is optimized against two well-known  driving cycles called the New European Drive Cycle (NEDC) and US06 and the influence of the driving cycle on the  obtained machine parameters is evaluated. US06 is the more demanding driving cycle and thus the machine designed for  this driving cycle demands more electrical loading compared to the machine designed for NEDC. Therefore, the copper  loss minimization becomes more important for the US06-optimized machine compared to the NEDC-optimized machine.  Consequently, the machine design parameters optimized for different driving cycles would be quite different. Compared  to the NEDC-optimized machine, the US06-optimized machine has a lower number of coil turns, lower height of teeth,  and lower diameter ratio to limit the copper losses. Furthermore, fewer magnets are needed for the motor optimized for  the NEDC compared to the motor optimized for US06. A quasi-3D approach and particle swarm optimization algorithm  are used in the semianalytical design optimization process. Additionally, computationally efficient 3D finite-element  analysis and measurements made for the prototype AFPM machine are carried out to validate the accuracy of the  quasi-3D approach.

Makale detayları

Particle swarm optimization approach to optimal design of an AFPM traction machine for different driving conditions

Yazarlar: Naghi ROSTAMI

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.3234-3246

Belge Tipi: Makale

Yayın Tarihi: 7/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000733916

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Naghi ROSTAMI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.3234-3246

Belge Tipi:

Makale

Yayın Tarihi:

7/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000733916

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632