A controlled experimental programme to characterise battery behaviour across chemistries, temperatures and load profiles — producing an open dataset for State-of-Charge estimation research in wireless sensor networks.
Overview
Reliable State-of-Charge estimation starts with reliable data. As part of my doctoral research, this project designed and ran a controlled battery-characterisation programme to record how small batteries actually behave under the conditions that wireless sensor network (WSN) nodes experience in the field.
Experimental setup
- A purpose-built battery discharge system paired with an environmental chamber to hold precise temperature set-points.
- Realistic load and drive-cycle profiles derived from an IEEE 802.15.4 radio platform (CC1352R2), rather than constant-current bench loads.
- Measurements spanning multiple chemistries — Lithium-Ion, Lithium-Polymer and Nickel-metal Hydride — including capacity tests, open-circuit-voltage versus SoC curves, relaxation behaviour, and battery surface temperature under load.
Output — an open dataset
The programme produced a documented, reusable dataset capturing battery discharge characteristics under an IEEE 802.15.4 radio load profile. It is published as an open dataset and underpins the State-of-Charge estimation and node-lifetime work in my thesis and subsequent papers. You can find it in the Datasets section of the Research & Publications page.
Dr. Ashraf Bani Ahmad
Collaborator
Al-Balqa Applied University
Assoc. Prof. Dr. Mohamad Khairi Ishak
Co-Investigator
University of Sharjah