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EN
Over the last years, there has been a rising interest in wound-rotor synchronous motors (WSM) for electric vehicle drive application. They provide analternative to permanent magnet motors (PSM) which are subject to shortage issues with the rare-earth material supply [5]. Although an analytical solution of the WSM minimum copper losses problem exists [1], the associated assumptions of unlimited voltage and constant motor inductances are mostly not applicable for electric vehicle applications. This paper proposes a simple method to improve the convergence of a numerical solution of the copper loss minimization problem subject to a nonlinear equality constraint (motor torque) and inequality constraints (available voltage and maximum current). A set / tree of weighted locally linearized (LoLiMoT) models replaces nonlinear lookup tables specifying the inductances Ld, Lq, Lf in terms of the currents Id, Iq and If. A benefit of this is that the analytical expressions for the Jacobian and the Hessian matrices of the objective function and the constraints functions are readily available to a gradient-based numericaloptimization function. The calculation results presented in the paper show a reduction of the necessary number of iteration steps. In addition, straightforward modification of the presented method allows optimization also under consideration of magnetic losses.
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