Electrical battery modeling for applications in wireless sensor networks and internet of things
Modeling the behavior of the battery is non-trivial. Nevertheless, an accurate battery model is required in the design and testing of systems such wireless sensor network (WSN) and internet of things (IoT). This paper presents the one resistive-capacitance (1RC) battery model with simple parameteriz...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Published: |
Institute of Advanced Engineering and Science
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111160516&doi=10.11591%2fEEI.V10I4.3106&partnerID=40&md5=79d059efcdb92879c411f37276d0d133 http://eprints.utp.edu.my/23697/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Petronas |
id |
my.utp.eprints.23697 |
---|---|
record_format |
eprints |
spelling |
my.utp.eprints.236972021-08-19T09:14:34Z Electrical battery modeling for applications in wireless sensor networks and internet of things Rasool, F. Drieberg, M. Badruddin, N. Sebastian, P. Qian, C.T.J. Modeling the behavior of the battery is non-trivial. Nevertheless, an accurate battery model is required in the design and testing of systems such wireless sensor network (WSN) and internet of things (IoT). This paper presents the one resistive-capacitance (1RC) battery model with simple parameterization technique for nickel metal hydride (NiMH). This model offers a good trade-off between accuracy and parameterization effort. The model�s parameters are extracted through the pulse measurement technique and implemented in a physical and dynamic simulator. Finally, the performance of the model is validated with the real-life NiMH battery by applying current pulses and real wireless sensor node current profiles. The results of the voltage response obtained from both the model and experiments showed excellent accuracy, with difference of less than 2. © 2021, Institute of Advanced Engineering and Science. All rights reserved. Institute of Advanced Engineering and Science 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111160516&doi=10.11591%2fEEI.V10I4.3106&partnerID=40&md5=79d059efcdb92879c411f37276d0d133 Rasool, F. and Drieberg, M. and Badruddin, N. and Sebastian, P. and Qian, C.T.J. (2021) Electrical battery modeling for applications in wireless sensor networks and internet of things. Bulletin of Electrical Engineering and Informatics, 10 (4). pp. 1793-1802. http://eprints.utp.edu.my/23697/ |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Institutional Repository |
url_provider |
http://eprints.utp.edu.my/ |
description |
Modeling the behavior of the battery is non-trivial. Nevertheless, an accurate battery model is required in the design and testing of systems such wireless sensor network (WSN) and internet of things (IoT). This paper presents the one resistive-capacitance (1RC) battery model with simple parameterization technique for nickel metal hydride (NiMH). This model offers a good trade-off between accuracy and parameterization effort. The model�s parameters are extracted through the pulse measurement technique and implemented in a physical and dynamic simulator. Finally, the performance of the model is validated with the real-life NiMH battery by applying current pulses and real wireless sensor node current profiles. The results of the voltage response obtained from both the model and experiments showed excellent accuracy, with difference of less than 2. © 2021, Institute of Advanced Engineering and Science. All rights reserved. |
format |
Article |
author |
Rasool, F. Drieberg, M. Badruddin, N. Sebastian, P. Qian, C.T.J. |
spellingShingle |
Rasool, F. Drieberg, M. Badruddin, N. Sebastian, P. Qian, C.T.J. Electrical battery modeling for applications in wireless sensor networks and internet of things |
author_facet |
Rasool, F. Drieberg, M. Badruddin, N. Sebastian, P. Qian, C.T.J. |
author_sort |
Rasool, F. |
title |
Electrical battery modeling for applications in wireless sensor networks and internet of things |
title_short |
Electrical battery modeling for applications in wireless sensor networks and internet of things |
title_full |
Electrical battery modeling for applications in wireless sensor networks and internet of things |
title_fullStr |
Electrical battery modeling for applications in wireless sensor networks and internet of things |
title_full_unstemmed |
Electrical battery modeling for applications in wireless sensor networks and internet of things |
title_sort |
electrical battery modeling for applications in wireless sensor networks and internet of things |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2021 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111160516&doi=10.11591%2fEEI.V10I4.3106&partnerID=40&md5=79d059efcdb92879c411f37276d0d133 http://eprints.utp.edu.my/23697/ |
_version_ |
1738656508871180288 |