Multi-objective optimization design scheme for motor design

Motor design is a complex multi-physics problem, which involves multiple fields such as electromagnetics, structure, fluid, temperature and control. With the development of new materials, new processes and various new motor technologies, the requirements for motor design are becoming more and more stringent, and the precision requirements are becoming higher and higher. Traditional design methods and means can no longer meet the requirements of modern motor design. Modern simulation technology must be used to solve various design problems.

In view of the development trend and related technical challenges of permanent magnetization, high speed, brushless, digital, integrated, intelligent, high efficiency and energy saving of motors, Ansys can provide integrated design solutions and processes to efficiently realize multi-domain, multi-level, integrated motor and drive/control system design from magnetic circuit method to finite element, from components to systems, from electromagnetic to multi-physical field coupling. In the initial design stage of the motor, Motor-CAD and professional optimization design tool Ansys optiSLang are used for multi-disciplinary rapid comprehensive optimization; in the high-precision design stage of the motor, Maxwell is combined with optiSLang and DesignXplorer to realize multi-physical field comprehensive optimization design including motor electromagnetic performance, vibration noise, and heat dissipation design.

OptiSLang is a professional analysis software for multidisciplinary optimization, stochastic analysis, robustness and reliability optimization design. It has powerful analysis capabilities in parameter sensitivity analysis, robustness assessment, reliability analysis, multidisciplinary optimization, robustness and reliability optimization design, and integrates more than 20 advanced algorithms, providing a solid theoretical foundation for multidisciplinary deterministic optimization, stochastic analysis, and multidisciplinary robustness and reliability optimization design of engineering problems. At the same time, a powerful post-processing module is integrated for the above-mentioned various analyses, providing various advanced evaluation methods and indicators in the frontier research fields of robustness assessment and reliability analysis, and displaying various analysis results with rich legends and tables. OptiSLang can be integrated with a variety of CAE software or solvers, and can perform various engineering simulation analyses or data processing based on its solver, making OptiSLang a professional tool for parameter sensitivity, multidisciplinary optimization, and robust reliability analysis optimization in various engineering fields.

In order to overcome the difficulties of dealing with a large number of design parameters in multidisciplinary nonlinear optimization, OptiSLang provides efficient sensitivity analysis and parameter identification algorithms. It can automatically identify important parameters and quantify the prediction quality based on the coefficient of prediction (COP) and the optimal prediction metamodel (MOP), and obtain the optimal prediction model as an alternative solver. The prediction quality is a key factor for effective optimization, so the solution time can be minimized.

Use optiSLang integrated in Workbench to quickly build an optimized design process

optiSLang provides a variety of optimization analysis modules and optimization post-processing functions

Ansys provides an integrated, multi-disciplinary, multi-physics, and multi-objective optimization analysis finite element analysis platform that can accurately analyze and optimize the NVH performance of motors. Maxwell2D/3D is used to quickly simulate the frequency domain electromagnetic forces on the stator/rotor surface of the motor at multiple speeds and seamlessly link to the HarmonicResponse module of the Workbench platform for multi-speed harmonic response analysis to obtain the ERP Level Waterfall diagram of the motor, which is used to analyze the resonance of the motor at various speeds; at the same time, the multi-speed harmonic response analysis results can also be passed to the Harmonic Acoustics module for Sound Power Level Waterfall analysis, which is used to further evaluate the motor noise level. Using optiSLang's powerful optimization analysis function, the motor NVH performance can be optimized and iterated to obtain the optimal NVH performance solution.

The motor NVH optimization analysis platform constructed in this way is based on the results of multi-physical field coupling analysis, so it has the characteristics of high precision, flexibility and ease of use. The unified model parameterization platform and optimization platform can achieve seamless data connection, ensure the reliability and efficiency of the analysis, and help the development of new energy vehicle drive motors to be carried out and implemented more efficiently and conveniently.