Multi-objective optimization of a permanent magnet synchronous motor based on an automated design and analysis procedure

You, Yong-Min

doi:10.1007/s00542-020-04929-z

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…The efficiency was set to 91.55% or more based on the value of the initial model, and the torque ripple was set to less than 10%, which is the level allowed in the traction motor for electric vehicles [20]. The design variables to satisfy the multi-objective function and constraints are shown in Figure 1, and the range of the design variables is shown in Table 2 [8]. The size of the permanent magnet has a great influence on the demagnetization properties.…”

Section: Multi-objective Function Constraints and Design Variablesmentioning

confidence: 99%

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Multi-Objective Optimization of Permanent Magnet Synchronous Motor for Electric Vehicle Considering Demagnetization

You

Yoon

2021

Applied Sciences

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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.

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Section: Multi-objective Function Constraints and Design Variablesmentioning

confidence: 99%

“…However, in most previous studies, optimization was performed with fixed weights. In the case of using multi-objective functions, the optimal design result according to the change in weight should be carefully reviewed [8].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Permanent Magnet Synchronous Motor for Electric Vehicle Considering Demagnetization

You

Yoon

2021

Applied Sciences

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“…PMSMs have many advantageous properties, including a high torque density, a high efficiency, a wide speed range and good controllability [6][7][8]. However, as technology in the related application fields continues to advance, many efforts have been made to improve the performance of PMSMs yet further through the development of fractional slot concentrated windings [9,10] and inner permanent magnet synchronous motors (IPMSMs) [11,12], or the application of multimodal design optimization methods [13,14] and differential control strategies. Liang et al [15] used a combined finite element method (FEM) and deep learning model to optimize the structure of a PMSM and predict the torque efficiency, respectively.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization Design and Analysis of V-Shape Permanent Magnet Synchronous Motor

2022

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Permanent magnet synchronous motors (PMSMs) are the main source of power in modern machine tools and are required to generate a high torque over a wide speed range in order to improve manufacturing efficiency. This study sets out to optimize the rotor design of a PMSM with a rated power, rated speed, rated torque and maximum speed of 34 kW, 2250 rpm, 144.3 N·m and 11250 rpm, respectively. A multi-objective optimization algorithm is employed to determine the rotor design parameters which maximize the output torque of the PMSM over three different load conditions (no load, rated load and maximum speed load). ANSYS multi-physics simulations are conducted to examine the electromagnetic, the structural field, temperature/flow field, demagnetization parament analysis and map analysis of global characteristics of the optimized PMSM. In general, the results show that the optimized PMSM provides a high torque and high-speed expansion performance, and thus facilitates a wide range of applications from low-speed heavy cutting to high-speed cutting without the need to replace the motor or machine tool.

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Optimal shape design to improve torque characteristics of interior permanent magnet synchronous motor for small electric vehicles

Kim,

Baek

2024

Microsyst Technol

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Multi-objective optimization of a permanent magnet synchronous motor based on an automated design and analysis procedure

Cited by 4 publications

References 19 publications

Multi-Objective Optimization of Permanent Magnet Synchronous Motor for Electric Vehicle Considering Demagnetization

Multi-Objective Optimization of Permanent Magnet Synchronous Motor for Electric Vehicle Considering Demagnetization

Multi-Objective Optimization Design and Analysis of V-Shape Permanent Magnet Synchronous Motor

Optimal shape design to improve torque characteristics of interior permanent magnet synchronous motor for small electric vehicles

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