A real-time temperature rise prediction method for PM motor varying working conditions based on the reduced thermal model

Guo, Yujing; Xu, Ruihai; Jin, Ping

doi:10.1016/j.csite.2023.103098

Cited by 7 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, limiting the temperature rise of the stator of the PM is a necessary condition for preventing the insulation from deteriorating and demagnetization of the PM when the motor torque is boosted [21,22]. Asef et al [23] carried out a PM motor threedimensional finite element thermal analysis and reduced the temperature rise at the stator core by investigating radial and circumferential airflow ducts; Guo et al [24] proposed a temperature rise calculation method based on a reduced-order model for variable-condition PM motors in order to accurately carry out the temperature rise calculations and verified that the method can predict the temperature rise at key nodes of PM motors under variable conditions in real time; Li et al [25] simultaneously considered the temperature rise of the motor as well as the effect of high saturation on the motor. The magnetic properties of the motor under magnetic-thermal coupling were investigated, and it was verified that the magnetic properties of the material at high temperatures would have a certain impact on the performance of the motor, but no optimization of the motor was carried out accordingly; Liu et al [26] carried out magnetic-thermal coupling after verifying a thermal equivalent circuit model in order to facilitate the reduction of the motor quality while controlling the temperature rise, and provided a reference for the magnetic-thermal coupling of slotless brushless DC motors; Li et al [27] proposed a shunt ratio optimization method considering winding temperature limitation to improve the torque, but did not explore the effect of other factors of the motor size on the electromagnetic torque; Lekić et al [28] proposed a new method for analyzing the shunt ratio optimization of a high-torque-density PM brushless DC motor, which considered leakage of the magnetic field and was applicable to large high-pole-count motors with limited copper loss density.…”

Section: Introductionmentioning

confidence: 99%

Optimization of PM Slotless Brushless DC Motors Considering Magnetic Saturation and Temperature Limitation

Xue,

Li,

Liu

et al. 2024

Energies

View full text Add to dashboard Cite

When magnetic saturation occurs during the operation of a permanent magnet (PM) slotless brushless DC motor, the material permeability will no longer be a constant value, and the neglected magnetic saturation model used for motor optimization will no longer be applicable. And considering that the increase in motor torque will lead to a high temperature rise of the winding, therefore, an electromagnetic heat coupling model applicable to the occurrence of magnetic saturation in the motor is established, and the model is utilized in combination with the particle swarm algorithm to enhance the maximum output torque of the motor. Firstly, a 100 W, 16,400 r/min high-speed PM slotless DC brushless motor is taken as the object of study, and its electromagnetic–thermal coupling model is established to derive the analytical equations for the electromagnetic torque with respect to the split ratio, the thickness of the stator yoke, the PM thickness, and the copper loss. Secondly, based on the modeling, the motor was optimized using a particle swarm algorithm to maximize the output torque and minimize the copper loss. Finally, a prototype was fabricated and verified with the prototype through no-load and load experiments. The difference between the theoretical maximum output torque and the experimental maximum output torque is less than 8%. The results show that this method can effectively predict the maximum output torque of the motor in the case of magnetic saturation, and the model is suitable for increasing the maximum output torque of slotless brushless DC motors under space constraints.

show abstract