@article{08f12746fc6140b897781c45965d697e,
title = "Flexible PV-cell modeling for energy harvesting in wearable IoT applications",
abstract = "Wearable devices with sensing, processing and communication capabilities have become feasible with the advances in internet-of-things (IoT) and low power design technologies. Energy harvesting is extremely important for wearable IoT devices due to size and weight limitations of batteries. One of the most widely used energy harvesting sources is photovoltaic cell (PV-cell) owing to its simplicity and high output power. In particular, flexible PV-cells offer great potential for wearable applications. This paper models, for the first time, how bending a PV-cell significantly impacts the harvested energy. Furthermore, we derive an analytical model to quantify the harvested energy as a function of the radius of curvature. We validate the proposed model empirically using a commercial PV-cell under a wide range of bending scenarios, light intensities and elevation angles. Finally, we show that the proposed model can accelerate maximum power point tracking algorithms and increase the harvested energy by up to 25.0%.",
keywords = "Flexible hybrid electronics (FHE), MPPT, PV-cell model, Power estimation, Wearable IoT devices",
author = "Jaehyun Park and Hitesh Joshi and Lee, {Hyung Gyu} and Sayfe Kiaei and Umit Ogras",
note = "Funding Information: This article was presented in the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) 2017 and appears as part of the ESWEEK-TECS special issue. This work was supported by NSF CAREER award CNS-1651624 and in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education (NRF-2017R1D1A1B03032382). Author{\textquoteright}s addresses: J. Park, H. Joshi, S. Kiaei, and U. Y. Ogras, School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287; emails: {jpark244, hjoshi5, sayfe, umit}@asu.edu; H. G. Lee, School of Computer and Communication Engineering, Daegu University, South Korea 38453; email: hglee@daegu.ac.kr. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. {\textcopyright} 2017 ACM 1539-9087/2017/09-ART156 $15.00 https://doi.org/10.1145/3126568 Publisher Copyright: {\textcopyright} 2017 ACM.",
year = "2017",
month = sep,
doi = "10.1145/3126568",
language = "English (US)",
volume = "16",
journal = "ACM Transactions on Embedded Computing Systems",
issn = "1539-9087",
publisher = "Association for Computing Machinery (ACM)",
number = "5s",
}