Computing lifetimes for battery-powered devices

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

Abstract

The battery lifetime of mobile devices depends on the usage pattern of the battery, next to the discharge rate and the battery capacity. Therefore, it is important to include the usage pattern in battery lifetime computations. We do this by combining a stochastic workload, modeled as a continuous-time Markov model, with a well-known battery model. For this combined model, we provide new algorithms to efficiently compute the expected lifetime and the distribution and expected value of the delivered charge.
LanguageUndefined
Title of host publicationProceedings of the International Conference on Operations Research, OR2010
Place of PublicationLondon
PublisherSpringer Verlag
Pages193-198
Number of pages6
ISBN (Print)978-3-642-20008-3
DOIs
StatePublished - Sep 2010

Publication series

Name
PublisherSpringer Verlag

Keywords

  • METIS-276250
  • EWI-19165
  • IR-75333

Cite this

Jongerden, M. R., & Haverkort, B. R. H. M. (2010). Computing lifetimes for battery-powered devices. In Proceedings of the International Conference on Operations Research, OR2010 (pp. 193-198). London: Springer Verlag. DOI: 10.1007/978-3-642-20009-0_31
Jongerden, M.R. ; Haverkort, Boudewijn R.H.M./ Computing lifetimes for battery-powered devices. Proceedings of the International Conference on Operations Research, OR2010. London : Springer Verlag, 2010. pp. 193-198
@inproceedings{29a834a07f3d4792990233f75bcae8c9,
title = "Computing lifetimes for battery-powered devices",
abstract = "The battery lifetime of mobile devices depends on the usage pattern of the battery, next to the discharge rate and the battery capacity. Therefore, it is important to include the usage pattern in battery lifetime computations. We do this by combining a stochastic workload, modeled as a continuous-time Markov model, with a well-known battery model. For this combined model, we provide new algorithms to efficiently compute the expected lifetime and the distribution and expected value of the delivered charge.",
keywords = "METIS-276250, EWI-19165, IR-75333",
author = "M.R. Jongerden and Haverkort, {Boudewijn R.H.M.}",
year = "2010",
month = "9",
doi = "10.1007/978-3-642-20009-0_31",
language = "Undefined",
isbn = "978-3-642-20008-3",
publisher = "Springer Verlag",
pages = "193--198",
booktitle = "Proceedings of the International Conference on Operations Research, OR2010",
address = "Germany",

}

Jongerden, MR & Haverkort, BRHM 2010, Computing lifetimes for battery-powered devices. in Proceedings of the International Conference on Operations Research, OR2010. Springer Verlag, London, pp. 193-198. DOI: 10.1007/978-3-642-20009-0_31

Computing lifetimes for battery-powered devices. / Jongerden, M.R.; Haverkort, Boudewijn R.H.M.

Proceedings of the International Conference on Operations Research, OR2010. London : Springer Verlag, 2010. p. 193-198.

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

TY - GEN

T1 - Computing lifetimes for battery-powered devices

AU - Jongerden,M.R.

AU - Haverkort,Boudewijn R.H.M.

PY - 2010/9

Y1 - 2010/9

N2 - The battery lifetime of mobile devices depends on the usage pattern of the battery, next to the discharge rate and the battery capacity. Therefore, it is important to include the usage pattern in battery lifetime computations. We do this by combining a stochastic workload, modeled as a continuous-time Markov model, with a well-known battery model. For this combined model, we provide new algorithms to efficiently compute the expected lifetime and the distribution and expected value of the delivered charge.

AB - The battery lifetime of mobile devices depends on the usage pattern of the battery, next to the discharge rate and the battery capacity. Therefore, it is important to include the usage pattern in battery lifetime computations. We do this by combining a stochastic workload, modeled as a continuous-time Markov model, with a well-known battery model. For this combined model, we provide new algorithms to efficiently compute the expected lifetime and the distribution and expected value of the delivered charge.

KW - METIS-276250

KW - EWI-19165

KW - IR-75333

U2 - 10.1007/978-3-642-20009-0_31

DO - 10.1007/978-3-642-20009-0_31

M3 - Conference contribution

SN - 978-3-642-20008-3

SP - 193

EP - 198

BT - Proceedings of the International Conference on Operations Research, OR2010

PB - Springer Verlag

CY - London

ER -

Jongerden MR, Haverkort BRHM. Computing lifetimes for battery-powered devices. In Proceedings of the International Conference on Operations Research, OR2010. London: Springer Verlag. 2010. p. 193-198. Available from, DOI: 10.1007/978-3-642-20009-0_31