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Abstract

This article presents multidisciplinary optimization methods applied to the design and performance evaluation of a magneto-mechanical energy scavenger for automotive wireless tire sensors. Optimal performance strictly depends on source characteristics, volume, weight and power density targets, energy scavenger typology, technological and manufacturing capabilities, optimization and reliability of performance, environment requirements, and so on. Thus an optimization study has been conducted on equivalent viscous damping due to strong magneto-electrical-mechanical coupling. To do this, an optimization tool has been developed that maximizes the power output in specific working conditions by varying the number and size of coils.

Keywords

energy harvester electromechanical device damping optimization nonlinear dynamic

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Optimization of magneto-mechanical energy scavenger for automotive tire

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