Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract— This paper presents a rapid sizing method for electrical machines estimating the length, rotor and stator diameter using only the maximum torque, the maximum speed, the maximum power and efficiency as input parameters. The method allows the calculation of separately excited synchronous (SSM), asynchronous (ASM) and permanent synchronous machines (PSM). To calculate the missing parameters needed for the estimation, a pre-compiled database of motors is considered. These parameters can be calculated using statistical interpolation methods. The proposed method combines these statistically calculated parameters with physical relations. Advantages of this method include the possibility to estimate the volume of the electrical motor as well as to use the interpolated data to scale the dimensions of the engine, which enables integrating the motor in a constrained space. To prove the validity of the method, different motors not present in the interpolated database are redesigned with the proposed method. This comparison shows that the model can display a divergence in a range of -6% to +10% in the estimation, which depends on the type of motor. This is small enough to be applied in the automatized design method of automotive transmission. The computational time of 1-2 s per motor design proves that the algorithm operates fast enough.
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