Robust optimization of magneto-mechanical energy harvesters for shoes

Abstract

Powering a remote wireless sensor is a challenging task if batteries are not suitable or enough capacious and their substitution is not feasible. A remote wireless sensor can be placed inside a shoe with the aim to collect and transmit data to evaluate and track the performance of an athlete. The primary energy source is the impact between the shoes and the ground while walking or running. The harvester has been designed by means of a multi-physics optimization based on an integrated electromagnetic-mechanical simulator. Thus an automated optimization of the device with respect to volume constraints, magnets dimensions, induction coils placement and size have been performed to increase the average power extracted from the device at different walking speeds. Finally, prototypes of the optimal configurations demonstrate the predicted performance and a more than satisfactory agreement is evinced. © The Society for Experimental Mechanics, Inc. 2013.