Conference Agenda

This paper investigates the weight and cost reduction of wireless power transfer (WPT) pads used in automotive applications to recharge the onboard battery of an electric vehicle (EV). To achieve this, the design focuses on reducing the ferrite in the pads. Different pad configurations are numerically investigated and the results used to define a ferrite reduction strategy while preserving WPT performance are presented. In the final version experimental prototypes of ferrite layers will be proposed.

This work presents a 3D-1D mathematical and numerical model for electromagnetic dosimetry at low and medium frequency in presence of filamentary implants. As a test case, the model is applied to the assessment of magnetic hyperthermia for neck tumour treatment in presence of a metallic cranial plate, leading to a correction of almost 13 % with respect to approximated models.

Computationally accurate and reliable finite element methods are the mainstream approach for solving magnetic thermal field calculations. However, they are subject to certain limitations, the most significant of which is the required computational resources. The rapid development of artificial intelligence has made it possible to use data-driven methods to overcome the limitations in magnetic thermal field computations. Wireless power transmission, as a novel electrical energy transmission technology, has found applications in multiple fields. To meet practical needs, this paper conducts finite element simulations of the magnetic thermal fields in wireless power transmission systems under various conditions such as different voltages, currents, loads, coil parameters, and relative positions. A diffusion model-based magnetic thermal field calculation method is trained to achieve high-precision physical field computations at the second scale. The results demonstrate that the error compared to finite element calculations can be below 3%. This provides a new approach for field computations in wireless power transfer systems and offers an effective computational method for design and optimization.

Due to the strongly nonlinear behavior of ferromagnetic cores, the numerical analysis of fast-ramping magnets is highly cumbersome and, therefore, in practice overly simplified by means of anhysteretic material descriptions and a posteriori loss formulae. This paper establishes a new dynamic ferromagnetic model combining a preconditioned energy-based hysteresis description and an eddy-current model in time domain. The model was successfully employed in the analysis of a normal-conducting bending magnet and succeeded to precisely calculate the losses and the time-lag between current excitation and air-gap field.

To significantly enhance the misalignment resistance of the wireless charging system, a high-tolerance inductive power transfer (IPT) based on parallel dual-channel transmission hybrid topology is proposed. Firstly, LCC/S and LCC/LCC configurations are utilized to form an input-parallel-output-parallel hybrid topology, which constitutes the dual-channel constant current output of the system. The output currents are superimposed to improve the system's misalignment tolerance characteristics. Additionally, the adjustment factor is introduced to regulate the output gain of the LCC/S configuration. Then, the Velocity-Controlled Particle Swarm Optimization (VCPSO) algorithm is employed to optimize the fitness function and determine the optimal adjustment factor that minimizes the output current fluctuation under a misalignment of 140mm. Finally, the simulation and experimental results demonstrate that the maximum fluctuation of the output current does not exceed 7% when the system is misaligned by 50% of its dimensions.