Online multi-parameter identification of permanent magnet synchronous motors in EV application considering iron losses

Author(s):  
A. Balamurali ◽  
C. Lai ◽  
G. Feng ◽  
V. Loukanov ◽  
N. C. Kar
2021 ◽  
Vol 2076 (1) ◽  
pp. 012096
Author(s):  
Ying Chen ◽  
Dongdong Chen ◽  
Zongwei Li ◽  
Hongdan Lei ◽  
Hongguan Zhu

Abstract This paper first explains the necessity of off-line parameter identification of permanent magnet synchronous motors, and then introduces the identification methods and principles of the stator resistance, stator d/q axis inductance and back-EMF coefficient of permanent magnet synchronous motors. An identification method of stator d/q axis inductance injected with high frequency voltage is proposed. Finally, based on the MBD development model, the proposed identification method is modeled by Matlab/Simulink and the code is generated for experiments. The results verified the accuracy and feasibility of the proposed method well.


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