AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes

AmbiMax is an energy harvesting circuit and a supercapacitor based energy storage system for wireless sensor nodes (WSN). Previous WSNs attempt to harvest energy from various sources, and some also use supercapacitors instead of batteries to address the battery aging problem. However, they either waste much available energy due to impedance mismatch, or they require active digital control that incurs overhead, or they work with only one specific type of source. AmbiMax addresses these problems by first performing maximum power point tracking (MPPT) autonomously, and then charges supercapacitors at maximum efficiency. Furthermore, AmbiMax is modular and enables composition of multiple energy harvesting sources including solar, wind, thermal, and vibration, each with a different optimal size. Experimental results on a real WSN platform, Eco, show that AmbiMax successfully manages multiple power sources simultaneously and autonomously at several times the efficiency of the current state-of-the-art for WSNs

[1]  Johan H R Enslin,et al.  Integrated photovoltaic maximum power point tracking converter , 1997, IEEE Trans. Ind. Electron..

[2]  Toshihiko Noguchi,et al.  Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic-and-converter module system , 2002, IEEE Trans. Ind. Electron..

[3]  Vahan Gevorgian,et al.  Modeling, Testing and Economic Analysis of a Wind-Electric Battery Charging Station , 1998 .

[4]  Pai H. Chou,et al.  Everlast: Long-life, Supercapacitor-operated Wireless Sensor Node , 2006, ISLPED'06 Proceedings of the 2006 International Symposium on Low Power Electronics and Design.

[5]  Pai H. Chou,et al.  Eco: an ultra-compact low-power wireless sensor node for real-time motion monitoring , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[6]  I. Batarseh,et al.  DSP-based multiple peak power tracking for expandable power system , 2003, Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC '03..

[7]  David E. Culler,et al.  Perpetual environmentally powered sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[8]  Vahan Gevorgian,et al.  Small Wind Turbine Testing and Applications Development , 1999 .

[9]  Pai H. Chou,et al.  Power utility maximization for multiple-supply systems by a load-matching switch , 2004, Proceedings of the 2004 International Symposium on Low Power Electronics and Design (IEEE Cat. No.04TH8758).

[10]  Mani B. Srivastava,et al.  Design considerations for solar energy harvesting wireless embedded systems , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[11]  Fernando L. M. Antunes,et al.  Maximum Power Point Tracker for PV Systems , 2004 .

[12]  Dong-Seok Hyun,et al.  An improved MPPT converter using current compensation method for small scaled PV-applications , 2003, Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC '03..

[13]  Kostas Kalaitzakis,et al.  Development of a microcontroller-based, photovoltaic maximum power point tracking control system , 2001 .