Details
| Original language | English |
|---|---|
| Title of host publication | CPS&C 2019 |
| Subtitle of host publication | Cyber-Physical Systems and Control |
| Editors | Dmitry G. Arseniev, Ludger Overmeyer, Heikki Kälviäinen, Branko Katalinić |
| Publisher | Springer Nature |
| Pages | 378-387 |
| Number of pages | 10 |
| Edition | 1. |
| ISBN (electronic) | 978-3-030-34983-7 |
| ISBN (print) | 978-3-030-34982-0 |
| Publication status | Published - 30 Nov 2019 |
Publication series
| Name | Lecture Notes in Networks and Systems (LNNS) |
|---|---|
| Volume | 95 |
| ISSN (Print) | 2367-3370 |
| ISSN (electronic) | 2367-3389 |
Abstract
Solar cells are the most common energy scavengers due to their ease of use, reliability and wide range of applications wherever the light is present. One of such applications is a wireless autonomous sensor network, where each sensor node tends to be as small as possible. In this paper, we describe a way to optimize the optical energy harvesting process using as an example a power management IC BQ25570. We introduce an approach to calculate the minimal solar cell area and storage capacitance, which are necessary to supply the module in the active mode for a specified time period and to minimize the charging time.
Keywords
- Autonomous sensor node, Energy harvesting, Power management, Solar cell, Visible light combination
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Signal Processing
- Computer Science(all)
- Computer Networks and Communications
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CPS&C 2019: Cyber-Physical Systems and Control. ed. / Dmitry G. Arseniev; Ludger Overmeyer; Heikki Kälviäinen; Branko Katalinić. 1. ed. Springer Nature, 2019. p. 378-387 (Lecture Notes in Networks and Systems (LNNS); Vol. 95).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Power Management in Autonomous Optical Sensor Nodes
AU - Dudko, Uliana
AU - Overmeyer, Ludger
N1 - Funding information: This work was financially supported by the Lower Saxony Ministry for Science and Culture, Germany, within the framework of “Tailored Light” project.
PY - 2019/11/30
Y1 - 2019/11/30
N2 - Solar cells are the most common energy scavengers due to their ease of use, reliability and wide range of applications wherever the light is present. One of such applications is a wireless autonomous sensor network, where each sensor node tends to be as small as possible. In this paper, we describe a way to optimize the optical energy harvesting process using as an example a power management IC BQ25570. We introduce an approach to calculate the minimal solar cell area and storage capacitance, which are necessary to supply the module in the active mode for a specified time period and to minimize the charging time.
AB - Solar cells are the most common energy scavengers due to their ease of use, reliability and wide range of applications wherever the light is present. One of such applications is a wireless autonomous sensor network, where each sensor node tends to be as small as possible. In this paper, we describe a way to optimize the optical energy harvesting process using as an example a power management IC BQ25570. We introduce an approach to calculate the minimal solar cell area and storage capacitance, which are necessary to supply the module in the active mode for a specified time period and to minimize the charging time.
KW - Autonomous sensor node
KW - Energy harvesting
KW - Power management
KW - Solar cell
KW - Visible light combination
UR - http://www.scopus.com/inward/record.url?scp=85087553809&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-34983-7_36
DO - 10.1007/978-3-030-34983-7_36
M3 - Contribution to book/anthology
AN - SCOPUS:85087553809
SN - 978-3-030-34982-0
T3 - Lecture Notes in Networks and Systems (LNNS)
SP - 378
EP - 387
BT - CPS&C 2019
A2 - Arseniev, Dmitry G.
A2 - Overmeyer, Ludger
A2 - Kälviäinen, Heikki
A2 - Katalinić, Branko
PB - Springer Nature
ER -