Multi-source energy harvesting management and optimization for non-volatile processors

Soroush Heidari; Caiwen Ding; Yongpan Liu; Yanzhi Wang; Jingtong Hu

doi:10.1109/IGCC.2015.7393721

Multi-source energy harvesting management and optimization for non-volatile processors

Soroush Heidari, Caiwen Ding, Yongpan Liu, Yanzhi Wang, Jingtong Hu

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

9 Scopus citations

Abstract

Due to size, longevity, safety, and recharging concerns, energy harvesting is becoming a better choice for many wearable embedded systems. However, harvested energy is intrinsically unstable. In order to overcome this drawback, nonvolatile processor (NVP) was proposed to bridge intermittent program execution. However, even with NVP, frequent power interruption will severely degrade system performance. In this paper, we will propose a multi-source energy harvesting system to combine multiple harvesting sources to provide a more stable power supply. Maximum power extraction and converter parameter optimization techniques will be discussed. Preliminary experimental results show the proposed architecture is very promising in providing a stable energy source for NVPs.

Original language	English (US)
Title of host publication	2015 6th International Green and Sustainable Computing Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509001729
DOIs	https://doi.org/10.1109/IGCC.2015.7393721
State	Published - Jan 26 2016
Event	6th International Green and Sustainable Computing Conference, IGSC 2015 - Las Vegas, United States Duration: Dec 14 2015 → Dec 16 2015

Publication series

Name	2015 6th International Green and Sustainable Computing Conference

Other

Other	6th International Green and Sustainable Computing Conference, IGSC 2015
Country/Territory	United States
City	Las Vegas
Period	12/14/15 → 12/16/15

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/IGCC.2015.7393721

Cite this

Heidari, S., Ding, C., Liu, Y., Wang, Y., & Hu, J. (2016). Multi-source energy harvesting management and optimization for non-volatile processors. In 2015 6th International Green and Sustainable Computing Conference Article 7393721 (2015 6th International Green and Sustainable Computing Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGCC.2015.7393721

Multi-source energy harvesting management and optimization for non-volatile processors. / Heidari, Soroush; Ding, Caiwen; Liu, Yongpan et al.
2015 6th International Green and Sustainable Computing Conference. Institute of Electrical and Electronics Engineers Inc., 2016. 7393721 (2015 6th International Green and Sustainable Computing Conference).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Heidari, S, Ding, C, Liu, Y, Wang, Y & Hu, J 2016, Multi-source energy harvesting management and optimization for non-volatile processors. in 2015 6th International Green and Sustainable Computing Conference., 7393721, 2015 6th International Green and Sustainable Computing Conference, Institute of Electrical and Electronics Engineers Inc., 6th International Green and Sustainable Computing Conference, IGSC 2015, Las Vegas, United States, 12/14/15. https://doi.org/10.1109/IGCC.2015.7393721

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abstract = "Due to size, longevity, safety, and recharging concerns, energy harvesting is becoming a better choice for many wearable embedded systems. However, harvested energy is intrinsically unstable. In order to overcome this drawback, nonvolatile processor (NVP) was proposed to bridge intermittent program execution. However, even with NVP, frequent power interruption will severely degrade system performance. In this paper, we will propose a multi-source energy harvesting system to combine multiple harvesting sources to provide a more stable power supply. Maximum power extraction and converter parameter optimization techniques will be discussed. Preliminary experimental results show the proposed architecture is very promising in providing a stable energy source for NVPs.",

author = "Soroush Heidari and Caiwen Ding and Yongpan Liu and Yanzhi Wang and Jingtong Hu",

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AU - Ding, Caiwen

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N2 - Due to size, longevity, safety, and recharging concerns, energy harvesting is becoming a better choice for many wearable embedded systems. However, harvested energy is intrinsically unstable. In order to overcome this drawback, nonvolatile processor (NVP) was proposed to bridge intermittent program execution. However, even with NVP, frequent power interruption will severely degrade system performance. In this paper, we will propose a multi-source energy harvesting system to combine multiple harvesting sources to provide a more stable power supply. Maximum power extraction and converter parameter optimization techniques will be discussed. Preliminary experimental results show the proposed architecture is very promising in providing a stable energy source for NVPs.

AB - Due to size, longevity, safety, and recharging concerns, energy harvesting is becoming a better choice for many wearable embedded systems. However, harvested energy is intrinsically unstable. In order to overcome this drawback, nonvolatile processor (NVP) was proposed to bridge intermittent program execution. However, even with NVP, frequent power interruption will severely degrade system performance. In this paper, we will propose a multi-source energy harvesting system to combine multiple harvesting sources to provide a more stable power supply. Maximum power extraction and converter parameter optimization techniques will be discussed. Preliminary experimental results show the proposed architecture is very promising in providing a stable energy source for NVPs.

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ER -

Multi-source energy harvesting management and optimization for non-volatile processors

Abstract

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