Populating the Simulink BLDC block for behavioral simulation of the motor

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Leonardo
Leonardo 2025 年 1 月 23 日
コメント済み: Leonardo 2025 年 7 月 5 日
Hello MathWorks community,
I am building a control system simulation model for a BLDC motor used in an electric vehicle.
However, I cannot find some data to enter in the fields:
  • Maximum permanent magnet flux linkage
  • Rotor angle range over which the permanent magnet flux linking the stator winding is constant
possibly use:
  • Maximum rotor-induced back EMF
In addition, I should also characterize the motor from a thermal aspect, so that I can make assessments on the type of cooling to be used and the working conditions under which it might operate: how could I “theoretically” derive the values to be entered in the fields:
1) Temperature Dependence
2) Thermal Port
Thank you in advance.
  2 件のコメント
Umar
Umar 2025 年 2 月 9 日
編集済み: Umar 2025 年 2 月 9 日

Hi @Leonardo,

Perhaps clicking the link below will help answer your questions.

Electric Vehicle Powered by BLDC Motor

Leonardo
Leonardo 2025 年 7 月 5 日
Thank you very much!
I am working on something very similar!
Thank you!

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回答 (1 件)

Sabin
Sabin 2025 年 7 月 2 日
Below some tips for BLDC parameterization:
'Rotor angle range over which back emf is constant' can be set to pi/(2*NumberOfPolePairs) rad
'Maximum permanent magnet flux linkage' or 'Maximum rotor-induced back EMF' should be know from motor specification (either datasheet or tests)
Parameters under Temperature Dependence:
  • Resistance temperature coefficient: for copper is 0.00393 1/K
  • Permanent magnet flux coeffcient: can be approximated with -0.001 1/K for neodymium magnets
  • Measurement temperature: for the above data we can use 298.15 K (that is 25 Celsius degrees)
Thermal Port:
  • These parameters will be characteristic to the motor. Thermal mass is the product between winding/rotor mass in kg and specific heat capacity in J/(kg*K). The specific heat capacity for copper is approximately 385 J/(kg·K).
  1 件のコメント
Leonardo
Leonardo 2025 年 7 月 5 日
Thank you, this is data that I had basically already considered and this confirms that I was on the right track!
Thank you very much for the response!

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