Preparations before simulation:

1. A motor model that has been physically checked (do not create any scenario):


2 Circuit model (including the circuit for calculating permanent magnet loss, it is necessary to set the permanent magnet resistivity and establish three parameters Speed, Ipk, gama):


3 Matrix required for operation, Speed ​​is a vector, Ipk and gama get the corresponding matrix through motor control theory

4 Iron loss parameters required for calculating iron loss, used for post-processing Bertotti calculates iron loss, and calculates Khys and Kexc at each frequency from the material data sheet, which are two vectors

5 Note: Both operation and post-processing will generate large files. For example, the program provided in the attachment runs 66 points, 30 steps for each point, and can generate 15G files. It may take half an hour to store and back up once (this is still a computing server). It is recommended to divide it into two runs to generate two .FLU files, which is also convenient for post-processing. This requires a simple modification of the python program.

6 It is carried out in two steps, and the generated data needs to be combined. The third python program will be used. It will combine the data of the two runs and generate a series of .mat files for Matlab processing. Note that in addition to python, the scipy library must be installed, otherwise scipy.io cannot load

7 The efficiency map generated by Matlab running the .m file
Torque, speed

Power, speed

Iron loss distribution

Copper loss distribution

Permanent magnet loss distribution