W1: Micro-Power Monolithic Switched-Capacitor Energy Harvesting Interface
Man-Kay Law, Matthew, University of Macao
Abstract: The recent technological advancements have enabled the development of various miniaturized systems for wireless sensing as well as the emerging Internet-of-Thing (IoT) applications, including environmental monitoring, personalized healthcare, smart buildings, intelligent transportation and many more. Energy harvesting is an attractive alternative to conventional battery-powered systems to achieve full system autonomy while significantly reducing the high maintenance cost/risk associated with frequent battery replacements. Even though on-chip inductive power converters exhibits higher power densities, it induces increased manufacturing cost as a result of the extra masks required for high-Q inductors. The additional post-fabrication efforts as in bondwire-based alternatives also make them unattractive for monolithic integration. On the contrary, switched-capacitor power converters are promising candidates for ultra-compact on-chip power conversion, featuring the possibility of full integration with high energy efficiency.
This tutorial will first cover different energy harvesters and their unique properties, including photovoltaic, thermoelectric, vibration and electromagnetic. The fundamental limits of switched-capacitor power converters in terms of slow/fast switching conduction loss, parasitic loss, gate driving loss and control loss, as well as the optimizations for micro-power energy harvesting will also be reviewed. This tutorial will then focus on state-of-the-art switched-capacitor power converters and circuit techniques capable of systematic multiple rational voltage conversion ratio generation and high efficiency reconfigurable rectification which can push the performance limits for both DC- and AC-type energy harvesters, respectively. These techniques enable micro-power energy harvesting using highly efficient switched-capacitor power converters with better SoC integration for next generation ultra-compact low-cost IoT and personalized healthcare devices.
Man-Kay Law, Matthew
He is currently an Associate Professor with the State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau. His research interests are on the development of ultra-low power CMOS circuits and integrated energy harvesting techniques for wireless sensing and biomedical applications. He has published over 70 technical papers, and holds 5 U.S. and 1 Chinese patents. He is a member of the IEEE CAS committee on Sensory Systems as well as Biomedical Circuits and Systems. He is a co-recipient of the ASQED Best Paper Award (2013), A-SSCC Distinguished Design Award (2015) and ASPDAC Best Design Award (2016). He also received the Macao Science and Technology Invention Award (2nd Class) by Macau Government – FDCT (2014). He is currently serving as a member of the ISSCC Technical Program Committee.