Optimal Design of Permanent-Magnet Motors For Electric Vehicles by using Particle Swarm Optimization Algorithm
Publish place: کنفرانس بین المللی پژوهش در علوم و مهندسی
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICRSIE01_701
تاریخ نمایه سازی: 25 آذر 1395
Abstract:
In this paper, the particle swarm optimization (PSO) algorithm is applied to the multi objective optimum design of the surface mounted permanent magnet synchronous motor. The optimum design procedure for electric vehicle application is divided into two steps. First, the losses and the cost are minimized, and the power density is maximized by optimizing both the dimension and the flux density distribution of the stator with an analytical model. Second, constraints such as temperature rise, saturation and demagnetization are satisfied. In order to verify the validity of the proposed method, the PSO method, the modified Hooke-Jeeves optimization method and the augmented Lagrangian method are compared to optimize three PM motors with different rated powers: 5.75 (kw), 3.77 (kw) and 188.5 (kw). This comparison is based on some features such as losses, cost and power density. The obtained results demonstrate that the PSO method is faster and more efficient than other two methods.
Keywords:
Particle swarm optimization algorithm , permanent magnet synchronous motors , electrical vehicle , multi objective optimum
Authors
Mohammad Mohammadrezaei
Electrical and Computer Engineering Department, University of Zanjan, Zanjan,Iran,
Reza Noroozian
Electrical and Computer Engineering Department, University of Zanjan, Zanjan, Iran,
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