We discuss models of piezoelectric energy harvesters for scavenging energy from random mechanical vibrations, represented by a white Gaussian noise source. We show that circuit theory can be applied to design a matching network, to be interposed between the piezoelectric transducer and the load, able to increase the power transferred to the latter. The second order matching network is compared with a previously proposed solution, based on power factor correction, implemented through a single reactive element. We show that the new architecture boosts the harvested power with respect to the simple, unmatched resistive load, by a factor larger than 9, and with respect to the power factor correction solution by more than 17%.

Boosting the performance of energy harvesters subject to white Gaussian vibrations through impedance matching solutions / Song, Kailing; Bonnin, Michele; Traversa, Fabio L.; Bonani, Fabrizio. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International Conference on Environment and Electrical Engineering (EEEIC) tenutosi a Prague (Czech Republic) nel 28 June - 01 July 2022) [10.1109/EEEIC/ICPSEurope54979.2022.9854714].

Boosting the performance of energy harvesters subject to white Gaussian vibrations through impedance matching solutions

Bonnin, Michele;Traversa, Fabio L.;Bonani, Fabrizio
2022

Abstract

We discuss models of piezoelectric energy harvesters for scavenging energy from random mechanical vibrations, represented by a white Gaussian noise source. We show that circuit theory can be applied to design a matching network, to be interposed between the piezoelectric transducer and the load, able to increase the power transferred to the latter. The second order matching network is compared with a previously proposed solution, based on power factor correction, implemented through a single reactive element. We show that the new architecture boosts the harvested power with respect to the simple, unmatched resistive load, by a factor larger than 9, and with respect to the power factor correction solution by more than 17%.
2022
978-1-6654-8537-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2970687