Computing lifetimes for battery-powered devices

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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.
Original languageUndefined
Title of host publicationProceedings of the International Conference on Operations Research, OR2010
Place of PublicationLondon
PublisherSpringer
Pages193-198
Number of pages6
ISBN (Print)978-3-642-20008-3
DOIs
Publication statusPublished - 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. https://doi.org/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, 2010. pp. 193-198
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Jongerden, MR & Haverkort, BRHM 2010, Computing lifetimes for battery-powered devices. in Proceedings of the International Conference on Operations Research, OR2010. Springer, London, pp. 193-198. https://doi.org/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, 2010. p. 193-198.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AU - Haverkort, Boudewijn R.H.M.

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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.

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KW - EWI-19165

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

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