Demand Background
Since the development of new energy vehicles has been vigorously advocated by the state due to the continuous reduction of oil resources and increasing environmental pollution, many new energy vehicle enterprises have emerged, leading to fierce competition in the market, where economical and efficient motors is vital to enhance the market competitiveness of enterprises. In order to reduce the development costs and time of the motor, which has a complex structure and strong parameter coupling, it is necessary to employ simulation methods to simulate and optimize the existing design with simulation methods and achieve the optimal design for specific performance.
Solution
A well-known automobile manufacturer in China offers a series of electric motors with speeds ranging from 400 to 1000 rpm. These motors are suitable for the brake system, electrical and mechanical system, and power steering system of new energy vehicles. In order to meet the requirement of enhancing the efficiency of motors, IBE has developed specialized motor simulation software based on the general multiphysics simulation PaaS platform Simdroid, which enables convenient optimization of motor parameters.
After performing parameterized modeling of key components of the motor, such as the stator and the rotor, of their inner and outer diameters and the shape of slots with the 2D modeling’ feature in Simdroid, the voltage-current curves, contour plots and cloud maps can be obtained by dividing the model into grids, setting boundaries, and analyzing the magnetic field.
After completing the magnetic field analysis process for the motor, users can easily engage in app development with the built-in app developer of Simdroid. In the three-phase induction motor simulation and calculation app, users can choose the optimal solution based on the corresponding analysis results from various design solutions obtained by adjusting key dimensions.
Future Applications
The three-phase induction motor simulation and calculation app is applicable to design similar motor products, covering various industrial fields such as communications equipment, electronics, automotive, aerospace, etc. The learning curve for design engineers can be significantly reduced because complex processes like modeling and grid partitioning have been well encapsulated. Thanks to the advantages like lightweight and easy operation of the app, the enterprises can iterate products quickly, reduce development costs, and shorten development cycles.