Battery lifetime prediction for energy-aware computing

Daler Rakhmatov, Sarma Vrudhula, Deborah A. Wallach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

56 Scopus citations

Abstract

Predicting the time of full discharge of a finite-capacity energy source, such as a battery, is important for the design of portable electronic systems and applications. In this paper we present a novel analytical model of a battery that not only can be used to predict battery lifetime, but also can serve as a cost function for optimization of the energy usage in battery-powered systems. The model is physically justified, and involves only two parameters, which are easily estimated. The paper includes the results of extensive experimental evaluation of the model with respect to numerical simulations of the electrochemical cell, as well as measurements taken on a real battery. The model was tested using constant, interrupted, periodic and non-periodic discharge profiles, which were derived from standard applications run on a pocket computer.

Original languageEnglish (US)
Title of host publicationProceedings of the International Symposium on Low Power Electronics and Design, Digest of Technical Papers
Pages154-159
Number of pages6
StatePublished - 2002
EventProceedings of the 2002 International Symposium on Low Power Electronics and Design - Monterey, CA, United States
Duration: Aug 12 2002Aug 14 2002

Other

OtherProceedings of the 2002 International Symposium on Low Power Electronics and Design
Country/TerritoryUnited States
CityMonterey, CA
Period8/12/028/14/02

Keywords

  • Battery
  • Low-power design
  • Modeling

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Battery lifetime prediction for energy-aware computing'. Together they form a unique fingerprint.

Cite this