Coupled Analysis and Metamodel-Based Optimal Design of Interior Permanent-Magnet Synchronous Motor Considering Multiphysical Characteristics

被引:0
作者
Kim, Dae Han [1 ]
You, Yong Min [1 ]
机构
[1] Chonnam Natl Univ, Dept Future Mobil Convergence, Gwangju 61186, South Korea
基金
新加坡国家研究基金会;
关键词
Optimization; Metamodel; Multiphysics; Coupling analysis; Traction motor; OPTIMIZATION; SPEED;
D O I
10.1007/s12239-025-00244-6
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A metamodel-based optimal design was proposed and coupled analysis was performed to evaluate the multiphysical characteristics of an interior permanent-magnet synchronous motor, including its electromagnetic, thermal, and mechanical stress fields. To enhance the predictive performance of the metamodel in the complex design problem based on coupled analysis, seven metamodeling techniques were considered instead of a single approach. Subsequently, the metamodel was combined and designed with an evolutionary algorithm to optimize and improve the specific power of the motor; the objective here was to maximize the specific power by selecting the average torque, torque ripple, efficiency, winding temperature, and rotor safety factor as the constraints. The most suitable metamodeling technique was then selected for each output variable by comparing the coefficient of prognosis as the evaluation metric of the predictive performances of the seven metamodeling techniques. The optimal design resulted in 9.1% improvement of the specific power of the motor compared to the original design. The error rates were compared between the predicted values and finite-element analysis results at the derived optimal point, which confirmed that consideration of the most suitable metamodeling technique for each output variable can be useful in generating a metamodel with superior predictive performance.
引用
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页数:15
相关论文
共 46 条
[1]  
Abdelkefi A, 2018, 2018 THIRTEENTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER)
[2]   Multiphysics Design of a V-Shape IPM Motor [J].
Akiki, Paul ;
Hassan, Maya Hage ;
Bensetti, Mohamed ;
Dessante, Philippe ;
Vannier, Jean-Claude ;
Prieto, Dany ;
McClelland, Mike .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2018, 33 (03) :1141-1153
[3]  
Akiki P, 2017, 2017 IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE (IEMDC)
[4]  
Ansys Inc., 2023, OptiSLang User's Guide, Release 2023 R1
[5]  
Bhavikatti S.S., 2005, FINITE ELEM ANAL DES
[6]  
Chau K.T., 2015, ELECT VEHICLE MACHIN
[7]   Design of experiments for interpolation-based metamodels [J].
Chen, E. Jack ;
Li, Min .
SIMULATION MODELLING PRACTICE AND THEORY, 2014, 44 :14-25
[8]  
Cui Jiahang, 2023, 2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS), P802, DOI 10.1109/EIECS59936.2023.10435446
[9]   Electric Motor Optimal Design based on Multi-physics Modelling and Artificial Intelligence [J].
Di Gerlando, Antonino ;
Gobbi, Massimiliano ;
Mastinu, Giampiero .
2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC, 2023,
[10]   Comprehensive Sensitivity Analysis and Multiphysics Optimization of the Rotor for a High Speed Permanent Magnet Machine [J].
Du, Guanghui ;
Huang, Na ;
Zhao, Yanyun ;
Lei, Gang ;
Zhu, Jianguo .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2021, 36 (01) :358-367