Abstract
Wireless battery charger system is considered as a multi parameter and multi constrained nonlinear system. The main objective of this work is to analyse the several blocks of the contactless charger and to refer to metaheuristic methods in performance optimisation regarding to the impact of parameter selection during designing in order to find the best global solution. An improved PSO algorithm with a selection strategy based on the use of Euclidean distance method between two individuals chosen randomly to form the population is proposed. The convergence characteristic of the adopted algorithm has been introduced. Simulation results show that the improved method may instead the limit of the local optimum solution and get the global optimum solution faster. A robust optimiser algorithm called GODLIKE is involved to solve optimisation problems and to take into account the interactions between design parameters on charger system performance. A perturbation-and-observation-based tracking method is developed through an efficient sensing system to act on the misalignment issue and the car position.
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