4.8 Article

Adaptive Capacitor Charging Circuit With Simplified Configuration for Efficient Piezoelectric Energy Harvesting

期刊

IEEE TRANSACTIONS ON POWER ELECTRONICS
卷 37, 期 9, 页码 10267-10280

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2022.3162947

关键词

Rectifiers; Capacitors; Wireless sensor networks; DC-DC power converters; Standards; Voltage control; Vibrations; Adaptive control; capacitors; dc-dc power converters; energy harvesting (EH); maximum power point tracking (MPPT); piezoelectric (PE) transducers

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In this study, an adaptive capacitor charging circuit for efficient piezoelectric energy harvesting is presented. The circuit simplifies the configuration for powering wireless sensor network nodes and improves energy transfer efficiency. The experimental results validate the advantages of the proposed circuit in terms of enhanced power transfer and adaptability to different harvesters and excitation conditions.
In this study, we present an adaptive capacitor charging circuit for efficient piezoelectric (PE) energy harvesting (EH), which simplifies the configuration for powering wireless sensor network (WSN) nodes. In the circuit, the PE harvester directly charges the storage capacitor through the rectifier, eliminating the energy loss in the dc-dc converter of conventional EH circuits. An adaptive control circuit is designed to optimize the average charging power. Theoretical analysis shows that the optimal average power of the novel circuit varies from 81.4% to 86.5% of the maximum power of the conventional EH circuit, without considering the power dissipation in the dc-dc converter. Moreover, the power losses of both the proposed and conventional circuits are estimated. When the excitation level is low, the net harvested power of the proposed circuit can be enhanced to as high as 180% of that of the conventional circuit. The experimental results validate that the power transferred to the load is increased by adopting the proposed interface. It is also proved that the circuit is adaptive to different harvesters and excitation conditions. In addition, the area of the proposed circuit is reduced, allowing it to be easily integrated into the WSN nodes.

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