Litcius/Paper detail

Fully Integrated Frequency-Tuning Switched-Capacitor Rectifier for Piezoelectric Energy Harvesting

Chao Xie, Guangshu Zhao, Yuan Ma, Man‐Kay Law, Milin Zhang

2023IEEE Journal of Solid-State Circuits21 citationsDOI

Abstract

This article proposed the first fully integrated synchronous electric-charge extraction (SECE) interface, featuring: 1) no external passive components and the smallest normalized on-chip capacitance; 2) an increased energy-extraction efficiency; and 3) a maximized extracted power regardless of the input and output conditions. With the multi-step soft-charging (MSC) technique relaxing energy-extraction conduction loss, we can effectively minimize the on-chip capacitance while improving the energy-extraction efficiency. To further depress the control loss, the positive current selector (PCS) is proposed to realize digital rectification during charge extraction. With the SECE strategy facilitating output independence, we further investigate an automatic phase and amplitude tuning method to enable maximum-power-point tracking (MPPT) over an extended input excitation bandwidth. Fabricated in 0.18- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS, the proposed rectifier achieves a maximum output power improving rate (MOPIR) of 8.14 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$V_{D}\,\,=$ </tex-math></inline-formula> 0.12 V and a 405% bandwidth improvement over the piezoelectric energy harvester (PEH) natural bandwidth.

Topics & Concepts

CapacitanceEnergy harvestingCapacitorBandwidth (computing)ChipRectifier (neural networks)Electrical engineeringElectronic engineeringEnergy (signal processing)Topology (electrical circuits)Computer scienceMathematicsAlgorithmVoltagePhysicsEngineeringQuantum mechanicsTelecommunicationsArtificial intelligenceStochastic neural networkElectrodeArtificial neural networkRecurrent neural networkInnovative Energy Harvesting TechnologiesEnergy Harvesting in Wireless NetworksAdvanced Sensor and Energy Harvesting Materials