Model Based Enhancement of an Autonomous System with a Piezoelectric Harvester

Energy harvesters convert ambient energy into useful electrical energy. Dr. Waleed al Ashtari developed during his PhD an analytical model for calculating the electromechanical characteristics of a piezoelectric harvester based on the material properties, geometry and boundary conditions. This model is the basis for a further model, which describes the operation of an autonomous system powered by a piezoelectric harvester. This theoretical work was validated by corresponding laboratory experiments. It was found that, in steady-state operation, the piezoelectric harvester experiences two alternating load conditions due to the rectification process. These load conditions make the system behave nonlinearly, especially if the connected electrical load is of low impedance. Furthermore, the results show that such an autonomous system works efficiently if it is connected to a high impedance load and excited at a frequency matching the anti-resonance frequency of the piezoelectric harvester.

The model of an autonomous system was extended to describe a system with multiple piezoelectric transducers. For implementing such a system, the optimum operation frequencies of the individual transducers must be adjusted. Therefore, a frequency tuning method was introduced. The tuning is accomplished by adjusting the distance between two permanent magnets and thus changing the attracting force between them in order to affect the structural stiffness of the harvester. This tuning method has been modeled and validated experimentally. The results show that frequency tuning using permanent magnets is a simple and effective solution for the frequency adjustment of piezoelectric energy harvesters.

The PhD thesis of Dr. al Ashtari is available here.

His Publications are listed here.