Improve the efficiency of Brushless Permanent Magnet DC motor by ANSYS –MAXWELL 3D/ 2D

Abstract

Brushless DC motors (BLDC) have received a lot of attention in the past decade from many sectors. Compared to other machines with equivalent power outputs, it is exceptionally light-weight and reliable, making it ideal for equipment that operates at high speeds. It is necessary to follow a process of design that is based on the fundamental concepts of electromagnetism is a fundamental need, even when machine design procedures are available as a collection of many distinct sources. The objective of this research is a DC motor (BLPMDC) with internal permanent magnets. Once the static and rotating materials are identified, the realistic size and power output can be approximated based on this information, Cogging torque causes vibration and noise in BLDC motors. It's caused by rotor magnets interacting with stator teeth. This research examines reducing cogging torque in brushless motors by altering slot depth. Cogging torque decrease is analyzed using FEM. Increasing stator slot depth reduces cogging torque in 1000 W/60V/3000RPM  BLDC motors. These findings verify the FE approach.in Maxwell's RMXPRT (36-hole, 10-pole) module based on 2D and 3D Maxwell's equations and then converting the internal program to binary 3D and 2D from RMXPRT and know the good efficiency of the motor.