Optimization intensive energy harvesting

Authors:
Mahsan Rofouei;Mohammad Ali Ghodrat;Miodrag Potkonjak;Alfonso Martinez-Nova
Affiliations:
University of California, Los Angeles (UCLA), Los Angeles, CA;University of California, Los Angeles (UCLA), Los Angeles, CA;University of California, Los Angeles (UCLA), Los Angeles, CA;University of Extremadura, Plasencia, CC, Spain
Venue:
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Year:
2012

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Abstract

Instrumented Medical Shoes (MSs) are equipped with a variety of sensors for measurement of quantities such as pressure, acceleration, and temperature which are often greatly beneficial in numerous diagnosis, monitoring, rehabilitation, and other medical tasks. One of primary limiting factors of MSs is their energy sensitivity. In order to overcome this limitation, we have developed an optimization intensive approach for energy harvesting. Our goal is to size and position a single piezoelectric transducer for energy generation in a medical shoe in such a way that maximal energy is collected and/or specified maximal voltage is achieved while collecting energy. We propose a scenario approach that provides statistically sound solution and evaluate our approach using our medical shoe simulator for subject specific energy harvesting and generic MS scavenging. We could get 3.7X energy gain compare to smallest size sensor and 1.3X energy gain compared to sensor with the size of a shoe.