Abstract
In recent years, permanent magnet machines have been widely used in many applications such as electric vehicles and hybrid applications. The present work carries out the design of a surface mounted permanent magnet motor (SMPM) with fractional slots. At a first stage, an analytical model of the SMPM is developed. At a second stage, based on this derived model, an optimization procedure of the machine, using the Genetic algorithm, is applied to find optimal machine geometry in agreement with a set of design criteria. The used objective function is to maximize the machine efficiency. A SMPM with 18 slots and 16 magnets is chosen. At a last stage, the obtained analytical results of the optimal design are validated with finite element analysis (FEA). Based on this validation a great concordance between analytical and FEA results is shown.
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