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This paper proposes a design process of permanent magnet assisted synchronous reluctance motors (PMa-SynRM) intended for vehicular propulsion. This approach takes into account range optimization and a multiphysics evaluation without the use of finite element analysis during the electro-magnetic-thermal optimization stage. The design process is based on a predesign stage to calculate a first approximation of the motor dimensions. The geometry obtained in the predesign step is used to initialize a genetic algorithm during the optimization process, which evaluates different motor designs by means of coupled magnetic, thermal, and electrical models. The magnetic model is based on a nonlinear reluctance network, which calculates the inductances and magnet flux linkages. The temperature dependence of the phase resistance and the temperature distribution in the main parts of the machine are obtained from a lumped thermal network. Once obtained the electrical parameters of the machine, its behavior can be assessed considering current and voltage restrictions, by means of adqmodel that evaluates the iron and copper losses. The optimization process is based on a multiobjective cost function within a torque–speed interval. [ABSTRACT FROM AUTHOR]

The trend in traction motor design and optimization is to achieve high torque and power densities, wider speed range, and high efficiency within the area defining the most frequent operating points. A fast tool to evaluate different variables within the torque-speed map is convenient for this purpose. In this context, starting from a preliminary motor design, and taking into account motor cross-coupling effects and power losses, this paper presents a new tool for evaluating the behavior of permanent magnet machines, such as synchronous reluctance machines, and permanent magnet assisted synchronous reluctance machines, in all operational points. Apart from the torque and efficiency, many other electrical variables can be obtained, such as the current space vector angle, power factor or electrical power among others. The proposed tool also allows optimizing the design of the machine under a pre-established control law, thus obtaining the current set point trajectory in the dq frame and allowing a fast and accurate evaluation of motor performance. The results obtained by means of the proposed simulation tool are compared against finite element analysis simulations and experimental data, thus validating the usefulness and accuracy of the proposed methodology. [ABSTRACT FROM AUTHOR]

This study presents a range optimization of a synchronous reluctance motor and a permanent-magnet-assisted synchronous reluctance motor according to a standard driving cycle, and the solutions obtained are compared. The proposed approach avoids the use of a finite-element analysis during the optimization process, thus greatly reducing the time required to obtain the optimal solution. This paper validates the optimal motors obtained in different domains, since the methodology takes into account a multiphysics design. Using two coupled reluctance and thermal networks, all possible working points in the torque–speed plane are obtained taking into account thermal effects, magnetic saturation, iron losses, as well as voltage and current constraints imposed by the inverter. The proposed approach allows a fast comparison of the solutions attained. The design and optimization methodology presented in this study can be applied to any driving cycle. [ABSTRACT FROM PUBLISHER]