eprintid: 14621
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/46/21
datestamp: 2023-11-10 03:29:12
lastmod: 2023-11-10 03:29:12
status_changed: 2023-11-10 01:57:23
type: article
metadata_visibility: show
creators_name: Rasool, F.
creators_name: Drieberg, M.
creators_name: Badruddin, N.
creators_name: Sebastian, P.
creators_name: Qian, C.T.J.
title: Electrical battery modeling for applications in wireless sensor networks and internet of things
ispublished: pub
note: cited By 4
abstract: 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.
date: 2021
publisher: Institute of Advanced Engineering and Science
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111160516&doi=10.11591%2fEEI.V10I4.3106&partnerID=40&md5=79d059efcdb92879c411f37276d0d133
id_number: 10.11591/EEI.V10I4.3106
full_text_status: none
publication: Bulletin of Electrical Engineering and Informatics
volume: 10
number: 4
pagerange: 1793-1802
refereed: TRUE
issn: 20893191
citation:   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.  ISSN 20893191