LCC-S Compensated Wireless Power Transfer: System Optimization Using Genetic Algorithms

This paper presents a novel technique based on Genetic Algorithms for the design of Inductive Wireless Power Transfer systems with LCC-S compensation. The proposed approach sizes the primary coil and selects the resonant tank components to achieve the desired output power with high transfer efficiency for any given load connected to the receiver coil. Mathematical models for self-inductance and mutual inductance are integrated into the algorithm, allowing the inclusion of the primary coil geometry and the system positioning (horizontal alignment and distance between coils) as optimization variables. A Monte Carlo analysis is implemented to investigate the effect of component values and positioning variations on the output power and efficiency. A simulated case study is proposed to illustrate the functioning of the algorithm. The presented methodology is thought to be highly flexible, easy to adapt to other compensation configurations and tailored to meet specific requirements resulting in a valuable instrument for the design of wireless power transfer systems.