Open AccessElectrical battery modeling for applications in wireless sensor networks and internet of things
Author(s) -
Fahad Rasool,
Micheal Drieberg,
Nasreen Badruddin,
Patrick Sebastian,
Christopher Teh Jun Qian
Publication year - 2021
Publication title -
bulletin of electrical engineering and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 12
ISSN - 2302-9285
DOI - 10.11591/eei.v10i4.3106
Subject(s) - battery (electricity) , wireless sensor network , wireless , computer science , node (physics) , voltage , internet of things , electrical engineering , resistive touchscreen , engineering , electronic engineering , simulation , computer network , embedded system , telecommunications , power (physics) , physics , structural engineering , quantum mechanics
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%.