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This paper derives low-complexity behavioral analytical models of the mutual inductance between the coupling coils of Wireless Power Transfer Systems (WPTSs), as functions of their reciprocal position. These models are extremely useful in the characterization and design optimization of WPTSs. Multi-Objective Genetic Programming (MOGP) algorithm is adopted to generate models ensuring an optimal trade-off between accuracy and complexity. The training and validation data sets needed for the generation of the models are here obtained by performing numerical full-3D electromagnetic simulations. The resulting behavioral models allow accurate and fast evaluation of the WPTS coils mutual inductance, over a wide range of misalignment conditions, enabling easier system analysis and optimization.

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This paper discusses the potential impact on the reduction of volume and weight of power inductors allowed by the adoption of partial saturation operation. The problem of volume and weight is particularly important in the frame of More/All Electric Aircraft design. It is even more critical in applications like unmanned aircrafts and micro/nano satellites, where very tight specifications are imposed by missions' targets and reliability requirements. This paper presents the results regarding an experimental investigation realized on a dc-dc buck converter, showing that up to 65% volume reduction can be achieved in ferrite core power inductors operating in partial saturation