Shape Optimization for Magnet and Flux Barriers of IPMSM By Using Polygon Model Method with GP

Ishikawa, Kazue; Kitagawa, Wataru; Takeshita, Toru

doi:10.14243/jsaem.23.533

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…It is noteworthy that many automobile manufacturers are currently implementing their own R&D programs to produce traction motors suitable for a next-generation vehicle, coupled with large-scale investments to develop new motor fabrication technology. In general, the motor efficiency is maximized with an optimal shape design under certain specifications (Iles-Klumpner et al , 2005; Gieras, 2002; Lee et al , 2014; Ishikawa et al , 2015). The motor efficiency can also be enhanced by an appropriate selection of electrical steel for the core.…”

Section: Introductionmentioning

confidence: 99%

EV drive efficiency of traction motor considering regenerative braking according to various motor cores

Shim

Kim

Hong³

2016

COMPEL

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Purpose The purpose of this paper is to study the electric vehicle (EV) drive efficiency of a traction motor considering regenerative braking according to various motor cores. Design/methodology/approach A software program was developed to predict the driving performance of an EV. It determines the driving mileage, the required power of the traction motor, and the operation points on a torque-speed map when drive cycles are given. The driving performance is calculated from the battery capacity, vehicle specification, and efficiency map of the traction motor computed using the finite element analysis. Findings As a result, the motor core is a significant design variable for raising the driving mileage of an EV. It is noted that the change of electrical steels used for the motor core is the lowest priced method of increasing the driving range by 2 km. Originality/value The comparative analysis of motor core by replacing 35PN250 to 25PNX1250F results in improvement effects traveling 4.62 and 5.16 km farther in the Simplified Federal Urban Driving Schedule (SFUDS) and Highway Fuel Economy Driving Schedule (HWFET), respectively. It was also verified that regenerative braking system is able to enhance drive efficiency by 29-31.3 km in the SFUDS and 6.5-7.3 km in the HWFET. From comparison of price rise for increasing driving mileage by 2 km, it is noted that the change of electrical steels used for the motor core is the lowest priced method.

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Section: Introductionmentioning

confidence: 99%

EV drive efficiency of traction motor considering regenerative braking according to various motor cores

Shim

Kim

Hong³

2016

COMPEL

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Simultaneous Optimization of Magnet and Flux Barrier in IPMSM by Differential Evolution

Ukita¹,

Ishikawa²,

Kitagawa³

et al. 2016

Journal of the Japan Society of Applied Electromagnetics and Me

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Recently, one of the most important problems is energy shortage. Therefore, it is required the high efficiency electromagnetic device like motors. One of them is interior permanent magnetic synchronous motor (IPMSM). It has a high degree of freedom of shape design because permanent magnets are placed in the interior of a rotor. This paper presents optimal design method of a rotor in IPMSM by differential evolution (DE). In the proposed method, magnets have design variables which are its width, length and coordinate. Flux barriers are expressed polygons which are composed by some nodes. These representations are used in simultaneous optimization of them with DE. Authors investigate usefulness of the proposed method by comparison of simulation results.

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Axial Gap Motor Shape Optimization Using Multi-Objective Based Genetic Programming Technique

MAEJIMA,

KITAGAWA,

TAKESHITA

et al. 2023

Journal of the Japan Society of Applied Electromagnetics and Me

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The goal of this study is to investigate the application of optimization algorithms and their employability in manufacturing. Genetic programming, which is performed in this study, can simulate the evolutionary process of organisms in nature on a computer using a population of individuals with genetic information to search for the optimal solution. In this study, an axial-gap motor with a low profile and high output is aimed, and genetic programming is used to accomplish multi-objective optimal design, utilizing the following four objective functions: average torque, torque ripple, cogging torque, and iron loss. The design aim is the shape of a permanent magnet and teeth, and the analysis is performed using the three-dimensional finite element method. As a result, a model was developed, in which each attribute was improved with a maximum gain of 5.01 % average torque. Furthermore, the significance of this method was demonstrated by visualizing the high-dimensional optimization result data via dimensional compression.

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Shape Optimization for Magnet and Flux Barriers of IPMSM By Using Polygon Model Method with GP

Cited by 4 publications

References 11 publications

EV drive efficiency of traction motor considering regenerative braking according to various motor cores

EV drive efficiency of traction motor considering regenerative braking according to various motor cores

Simultaneous Optimization of Magnet and Flux Barrier in IPMSM by Differential Evolution

Axial Gap Motor Shape Optimization Using Multi-Objective Based Genetic Programming Technique

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