K T, Hafeez and Dutta, Asudeb
(2011)
Micro Scale Energy Harvesting For Ultra-Low Power Systems.
Masters thesis, Indian Institute of Technology Hyderabad.
Abstract
Ultra-low power systems such as Wireless sensor network (WSN) nodes have emerged as an active research
topic due to their vast application areas. Such WSNs would be able to perform their sensing functions and
wireless communication without any supervision, configuration, or maintenance. These systems have to
cope with severe power supply constraints. The need shared by most WSNs for long lifetimes and small
form factors does not match up well with the power density of available battery technology. This could limit
the use of WSNs due to the need for large batteries. It is not expected that better batteries for small devices
will become available in the near future. Energy harvesting could therefore be a solution to making WSNs
autonomous and could thus enable widespread use of these systems in many applications. Energy harvesting
is becoming more and more popular for micro-power applications where the environmental energy is used to
power up the systems.
As sensors have become smaller, cheaper, and increasingly abundant, there have been commensurate
reductions in the size and cost of computation and wireless communication. In context of micro scale solar
energy harvesting systems, the design of ecient energy conversion unit and accurate maximum power point
tracking(MPPT) unit becomes a tremendous challenge due to area constraint and very low (W) output
power. This thesis presents a novel MPP tracking method including a charge pump based DC-DC converter
for extracting energy from a tiny single PV cell (open circuit voltage 0.4V). We have used a feed-forward
(FF) unit to track maximum power point. The design of FF MPP is derived from the operating point of solar
cell under dierent solar intensity. This scheme consumes very little power and is faster when compared to
other methods. This method eliminates the use of current sensor and other power hungry elements in the
MPPT unit. The proposed method tracks the MPP with less than 2 % error and gives eciency of 63.50%
through FF MPPT. The complete circuit has been simulated using 0.18 m CMOS process.
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