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Self-Powered Implantable CMOS Photovoltaic Cell With 18.6% Efficiency

Jinwei Zhao, R. Parvizi, Rami Ghannam, Man‐Kay Law, Finlay Walton, Muhammad Ali Imran, Hadi Heidari

2023IEEE Transactions on Electron Devices12 citationsDOI

Abstract

Harvesters for implantable medical applications need to generate enough energy to power their loads, but their efficiency is reduced when implanted under the tissue. Conventional photovoltaic (PV) cell harvesters made with CMOS technology stack cells in series, which raises output voltage but lowers power conversion efficiency. In addition, it is difficult to assess harvester performance prior to fabrication. To address these challenges, we developed a novel parallel PV cell configuration that fully utilizes all triple-well diodes and responds efficiently to near-infrared light. Using an optimized structure, the PV cells were fabricated through standard TSMC 65-nm CMOS technology, achieving an efficiency of 18.6%, open circuit voltage of 0.45 V, and short circuit current of 1.9 mA cm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$^{-{2}}$ </tex-math></inline-formula> . These results confirm the ability of the device to generate sufficient energy even when implanted beneath the tissue. Multiphysics finite element modeling (FEM) was used to optimize the stacking structure of the CMOS PV cell, and experimental results showed a successfully delivered power density of 1.2 mW cm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$^{-{2}}$ </tex-math></inline-formula> (single cell 1.04 mm2) when placed 2 mm below porcine skin. Different array configurations of six PV cells were also experimentally studied using external wire switching, demonstrating the flexibility of the PV array in delivering different output energy for various implantable devices.

Topics & Concepts

CMOSPhotovoltaic systemVoltageStackingEnergy conversion efficiencyElectrical engineeringEnergy harvestingTopology (electrical circuits)OptoelectronicsElectronic engineeringComputer scienceMaterials sciencePower (physics)EngineeringPhysicsNuclear magnetic resonanceQuantum mechanicsNeuroscience and Neural EngineeringAdvanced Sensor and Energy Harvesting MaterialsAdvanced Battery Technologies Research
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