Advancements in CMOS technology has enabled the evolution of the internet of things
that are based on ultra-low power devices and circuits in many applications such as WSNs,
implantable and wearable electronics. However, battery life time has become critical in
ultra-low power devices in term of power management and delivery. Therefore, reducing
the power consumption of the integrated circuits will certainly extend the battery lifetime.
Dynamic voltage scaling is a key requirement for the SoC to support optimum operating
point of both energy and performance. Dynamic voltage scaling can be achieved by
DC-DC converter which is commonly used in today's SoCs.
This thesis introduces an efficient on-chip reconfigurable multiple gain switched-capacitor
DC-DC buck converter. The proposed switched-capacitor converter takes an input of 1.2V
and provides various voltage levels, namely 1V, 0.8V and 0.6V based on two reconfigurable
bits. The proposed switched-capacitor converter is capable of driving a wide range of load
currents from 10 A to 800 A as set by the operating frequency and switch modulation to
regulate the output voltage. The switched-capacitor converter is designed and fabricated
in 65nm low power CMOS technology and occupies an area of 0.43mm2. The design
utilizes both MIM and MOS capacitances stacked above each other in order to achieve
high area and power efficiency. The measured maximum power efficiency from silicon is
83% for a load current of 400 A at 0.8V. In addition, a closed loop switched-capacitor
converter including the frequency modulation controller is designed in 65nm CMOS and
a spice simulation shows a maximum power efficiency of 83% comparing it with the open
loop switched-capacitor converter where the maximum power reaches 85%.
| Date of Award | 2015 |
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| Original language | American English |
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- An Efficient On-chip Switched-Capacitor DC-DC, Converted for Ultra –low Power Applications
An Efficient On-chip Switched-Capacitor DC-DC Converted for Ultra - Low Power Applications
Kilani, D. (Author). 2015
Student thesis: Master's Thesis