Design And Parameters Optimization Of Double Magnets Wave Energy Harvesters

Energy is the engine of the world economic growth. A reliable supply of energy guarantees thedevelopment of economic. In the global context of the gradual depletion of fossil energy,development and utilization of new energy sources is particularly necessary. The ocean wave energyis abundant, renewable and non-polluting, which is a chance. China owns long coastline andnumerous islands, which shows the broad prospects of wave energy utilization in China. In this paper,the double-permanent magnets serpentine wave energy collection system will be optimized, both instructure design and parameters, making it have higher energy collection efficiency and greateradaptability in complex wave conditions.Based on the linear wave theory, the paper analyzes the empirical formula and severalmathematical models in the process of developing wave energy. And according to the actualhydrological data, a model in line with the true wave sea conditions is built. Three-dimensional of thestatic magnetic field analysis was done with Ansys; the system structure was designed and thedistance between the permanent magnets optimization analysis was processed, in order to find the bestdistance of the double permanent magnets. At the end, a strategy is put forward to use MCU to controlthe rotation of stepper motor, adjusting the distance of the permanent magnet at a different waveheight.After modification, the serpentine wave energy collection structure would have higher energycollection efficiency, with a simpler structure. Then the paper discussed the system powerpost-processing solutions, using unidirectional Buck-Boost Converter to rectify the system outputvoltage; bidirectional Buck-Boost Converter to control battery charge and discharge. After drawingthe circuit topology, the system power transmission scheme was discussed.The experimental model was designed in the final chapter, and qualitative and quantitativeexperiments were completed, obtaining high collection efficiency and a stable power output, alsoverifying that the optimization program is feasible.