A Temperature-Dependent Battery Model for Wireless Sensor Networks

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Rodrigues, LM (Author) Other; Montez, C (Author) Other; Moraes, R (Author) Other; Paulo Portugal (Author) FEUP; Francisco Vasques (Author) FEUP

Journal

Title: Sensors

Vol. 17

Final page: 422

ISSN: 1424-3210

Publisher: MDPI

Indexing

ISI Web of Knowledge - 32 Citations

Scopus - 37 Citations

Other information

Authenticus ID: P-00M-FN5

DOI: 10.3390/s17020422

Abstract (EN): Energy consumption is a major issue in Wireless Sensor Networks (WSNs), as nodes are powered by chemical batteries with an upper bounded lifetime. Estimating the lifetime of batteries is a difficult task, as it depends on several factors, such as operating temperatures and discharge rates. Analytical battery models can be used for estimating both the battery lifetime and the voltage behavior over time. Still, available models usually do not consider the impact of operating temperatures on the battery behavior. The target of this work is to extend the widely-used Kinetic Battery Model (KiBaM) to include the effect of temperature on the battery behavior. The proposed Temperature-Dependent KiBaM (T-KiBaM) is able to handle operating temperatures, providing better estimates for the battery lifetime and voltage behavior. The performed experimental validation shows that T-KiBaM achieves an average accuracy error smaller than 0.33%, when estimating the lifetime of Ni-MH batteries for different temperature conditions. In addition, T-KiBaM significantly improves the original KiBaM voltage model. The proposed model can be easily adapted to handle other battery technologies, enabling the consideration of different WSN deployments.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 24