Multi-Objective Optimization of Permanent Magnet Synchronous Motor for Electric Vehicle Considering Demagnetization
| Autor: | Yong-min You, Keun-Young Yoon Yoon |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.product_category
Computer science 02 engineering and technology lcsh:Technology 01 natural sciences Multi-objective optimization Traction motor lcsh:Chemistry Control theory 0103 physical sciences Electric vehicle PMSM 0202 electrical engineering electronic engineering information engineering Torque General Materials Science Torque ripple lcsh:QH301-705.5 Instrumentation 010302 applied physics Fluid Flow and Transfer Processes metamodel lcsh:T Process Chemistry and Technology 020208 electrical & electronic engineering Demagnetizing field electric vehicle General Engineering lcsh:QC1-999 Computer Science Applications Neodymium magnet lcsh:Biology (General) lcsh:QD1-999 MOGA lcsh:TA1-2040 demagnetization Magnet lcsh:Engineering (General). Civil engineering (General) business optimization lcsh:Physics |
| Zdroj: | Applied Sciences Volume 11 Issue 5 Applied Sciences, Vol 11, Iss 2159, p 2159 (2021) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app11052159 |
| Popis: | The irreversible demagnetization of permanent magnets causes the deterioration of the performance in permanent magnet synchronous motors (PMSMs), which are used for electric vehicles. NdFeB, which is the permanent magnet most commonly used in PMSMs for electric vehicles, is easily demagnetized at high temperatures. Because traction motors for electric vehicles reach high temperatures, and a high current can be instantaneously applied, permanent magnets of PMSM can be easily demagnetized. Therefore, it is important to study the demagnetization phenomenon of PMSMs for electric vehicles. However, since the demagnetization analysis procedure is complicated, previous studies have not been able to perform optimization considering demagnetization characteristics. In this study, we optimized the shape of a PMSM for electric vehicles by considering the demagnetization characteristics of permanent magnets using an automated design of experiments procedure. Using this procedure, a finite element analysis for each experimental point determined by a sampling method can be performed quickly and easily. The multi-objective function minimizes the demagnetization rate and maximizes the average torque, and the constraints are the efficiency and torque ripple. Various metamodels were generated for each of the multi-objective functions and constraints, and the metamodels with the best prediction performance were selected. By applying a multi-objective genetic algorithm, 1902 various optimal solutions were obtained. When the weight rate of the demagnetization rate to the torque was set to 0.1:0.9, the demagnetization rate and average torque were improved by 4.45% and 2.7%, respectively, compared to those of the initial model. The proposed multi-objective optimization method can guide the design of PMSMs for electric vehicles with high reliability and strong demagnetization characteristics. |
| Databáze: | OpenAIRE |
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