On Battery Recovery Effect in Wireless Sensor Nodes

Author:

Narayanaswamy Swaminathan1,Schlueter Steffen1,Steinhorst Sebastian1,Lukasiewycz Martin1,Chakraborty Samarjit2,Hoster Harry Ernst3

Affiliation:

1. TUM CREATE Limited, CREATE TOWER, Singapore

2. Technical University of Munich, München, Germany

3. Lancaster University, Lancaster, United Kingdom

Abstract

With the perennial demand for longer runtime of battery-powered Wireless Sensor Nodes (WSNs), several techniques have been proposed to increase the battery runtime. One such class of techniques exploiting the battery recovery effect phenomenon claims that performing an intermittent discharge instead of a continuous discharge will increase the usable battery capacity. Several works in the areas of embedded systems and wireless sensor networks have assumed the existence of this recovery effect and proposed different power management techniques in the form of power supply architectures (multiple battery setup) and communication protocols (burst mode transmission) in order to exploit it. However, until now, a systematic experimental evaluation of the recovery effect has not been performed with real battery cells, using high-accuracy battery testers to confirm the existence of this recovery phenomenon. In this article, a systematic evaluation procedure is developed to verify the existence of this battery recovery effect. Using our evaluation procedure, we investigated Alkaline, Nickel-Metal Hydride (NiMH), and Lithium-Ion (Li-Ion) battery chemistries, which are commonly used as power supplies for Wireless Sensor Node (WSN) applications. Our experimental results do not show any evidence of the aforementioned recovery effect in these battery chemistries. In particular, our results show a significant deviation from the stochastic battery models, which were used by many power management techniques. Therefore, the existing power management approaches that rely on this recovery effect do not hold in practice. Instead of a battery recovery effect, our experimental results show the existence of the rate capacity effect , which is the reduction of usable battery capacity with higher discharge power, to be the dominant electrochemical phenomenon that should be considered for maximizing the runtime of WSN applications. We outline power management techniques that minimize the rate capacity effect in order to obtain a higher energy output from the battery.

Funder

Technological Enterprise (CREATE) program

Singapore National Research Foundation

Campus for Research Excellence

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Reference58 articles.

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3. BaSyTec Tester 2013. Datasheet of BaSyTec CTS Battery Tester. (Mar. 2013). http://www.basytec.de. BaSyTec Tester 2013. Datasheet of BaSyTec CTS Battery Tester. (Mar. 2013). http://www.basytec.de.

4. Discharge current steering for battery lifetime optimization

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