Title :
A Highly Efficient Ultralow Photovoltaic Power Harvesting System With MPPT for Internet of Things Smart Nodes
Author :
Xiaosen Liu ; Sanchez-Sinencio, Edgar
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
Implementing a monolithic highly efficient ultralow photovoltaic (PV) power harvesting system is pivotal for smart nodes of Internet of things (IOT) networks. This paper proposes a fully integrated harvesting system in 0.18-μm CMOS technology. Utilizing a small commercial solar cell of 2.5 cm2, the proposed system can provide 0-29 μW of power, which is much higher than the commonly used passive radio-frequency identification devices in IOT application. The hill-climbing maximum power point tracking algorithm is developed in an energy-efficient manner to tune the input impedance of the system and guarantee adaptive maximum power transfer under wide illumination conditions. The detailed impedance tuning approach is implemented with a capacitor value modulation to eliminate the quiescent power consumption as well as to achieve a higher efficiency than the traditional pulse-frequency modulation scheme. A supercapacitor is utilized for buffering, energy storing, and filtering purposes, which enables more functions of the IOT smart nodes such as active sensing and system-on-chip (SOC) signal processing. The output voltage ranges between 3.0 and 3.5 V for different device loads, such as sensors, SOC, or wireless transceivers. The measured results confirm that this PV harvesting system achieves both ultralow operation capability under 20 μW and a selfsustaining efficiency of 89%.
Keywords :
CMOS integrated circuits; Internet of Things; capacitors; energy harvesting; maximum power point trackers; radiofrequency identification; signal processing; solar cells; system-on-chip; CMOS technology; IOT networks; IOT smart nodes; MPPT; PV harvesting system; PV power harvesting system; SOC signal processing; capacitor value modulation; fully integrated harvesting system; hill-climbing maximum power point tracking algorithm; illumination conditions; impedance tuning approach; internet of things smart nodes; passive radio-frequency identification devices; power transfer; pulse-frequency modulation scheme; supercapacitor; system-on-chip; ultralow photovoltaic power harvesting system; wireless transceivers; Capacitors; Charge pumps; Energy harvesting; Impedance; Modulation; Sensors; Wireless sensor networks; Capacitor value modulation; Internet of things (IOT); energy harvesting; maximum power point tracking (MPPT); solar cell; solar cell.;
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
DOI :
10.1109/TVLSI.2014.2387167