A kinetic energy harvester with fast start-up for wearable body-monitoring sensors

Jacopo Olivo; Davide Brunelli; Luca Benini

4th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

A kinetic energy harvester with fast start-up for wearable body-monitoring sensors

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@INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2010.8814,
    author={Jacopo Olivo and Davide Brunelli and Luca Benini},
    title={A kinetic energy harvester with fast start-up for wearable body-monitoring sensors},
    proceedings={4th International ICST Conference on Pervasive Computing Technologies for Healthcare},
    proceedings_a={PERVASIVEHEALTH},
    year={2010},
    month={6},
    keywords={Batteries Biomedical monitoring Body area networks Humans Intelligent sensors Kinetic energy Sensor systems Supercapacitors Wearable sensors Wireless sensor networks},
    doi={10.4108/ICST.PERVASIVEHEALTH2010.8814}
}

Jacopo Olivo
Davide Brunelli
Luca Benini
Year: 2010
A kinetic energy harvester with fast start-up for wearable body-monitoring sensors
PERVASIVEHEALTH
ICST
DOI: 10.4108/ICST.PERVASIVEHEALTH2010.8814

Jacopo Olivo¹^,*, Davide Brunelli²^,*, Luca Benini³^,*

1: Integrated Systems Laboratory, Federal Technology Institute of Lausanne, Lausanne, Switzerland
2: Department of Information Engineering and Computer Science, University of Trento, Trento, Italy
3: Department of Electronics, Computer Sciences and Systems, University of Bologna, Bologna, Italy

*Contact email: jacopo.olivo@epfl.ch, davide.brunelli@disi.unitn.it, luca.benini@unibo.it

Abstract

A kinetic energy harvester for wearable wireless sensors and personal devices is proposed. The harvester is based on electromagnetic transduction of human movements and on a charge pump with smart switching to minimize the start-up time from the fully depleted state. A detailed analysis and design optimization in the frequency range typical of human motion is also presented. Experimental results confirm that the proposed approach sharply reduces the start-up time and can exploit efficiently even small movements.

Keywords: Batteries Biomedical monitoring Body area networks Humans Intelligent sensors Kinetic energy Sensor systems Supercapacitors Wearable sensors Wireless sensor networks

Published: 2010-06-07

: http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2010.8814