Optimization of a vibrating MEMS electromagnetic energy harvester using simulations

Nowadays, wireless sensor networks (WSN) are becoming essential in our daily life. However, a major constraint concerns the energy power supply. Indeed, batteries need to be recharged or replaced often which implies a limited lifetime for WSN nodes. One alternative consists in harvesting mechanical energy from surrounding vibrations of the environment. Using finite element simulations, we report here a complete guideline to optimize a MEMS electromagnetic energy harvester consisting of an in-plane vibrating silicon frame supporting an array of micromagnets that faces a static 2D micro-coil. The dimensioning of the magnet array and the specific design of the coil are addressed, considering patterned 50 mu m thick NdFeB films with out of plane magnetization. The optimization of the electromechanical coupling which allows to efficiently convert the energy results from a trade-off between the high magnetic flux gradients produced by the micromagnets and the maximum number of turns of the facing coil.

Automated summary

Wireless sensor networks are becoming increasingly important in our daily lives, but energy supply remains a major constraint. Harvesting mechanical energy to replace batteries is an alternative solution. Using finite element simulations, we provide a complete guideline for optimizing the design of a MEMS electromagnetic energy harvester.