Computing lifetimes for battery-powered devices

M.R. Jongerden; Boudewijn R.H.M. Haverkort

doi:10.1007/978-3-642-20009-0_31

Computing lifetimes for battery-powered devices

M.R. Jongerden, Boudewijn R.H.M. Haverkort

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

215 Downloads (Pure)

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 language	Undefined
Title of host publication	Proceedings of the International Conference on Operations Research, OR2010
Place of Publication	London
Publisher	Springer
Pages	193-198
Number of pages	6
ISBN (Print)	978-3-642-20008-3
DOIs	https://doi.org/10.1007/978-3-642-20009-0_31
Publication status	Published - Sept 2010
Event	International Conference on Operations Research, OR2010, Munich, Germany: Proceedings of the International Conference on Operations Research, OR2010 - London Duration: 30 Nov 2010 → …

Publication series

Name
Publisher	Springer Verlag

Conference

Conference	International Conference on Operations Research, OR2010, Munich, Germany
City	London
Period	30/11/10 → …

Keywords

METIS-276250
EWI-19165
IR-75333

Access to Document

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

Cite this

@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 = sep,

doi = "10.1007/978-3-642-20009-0_31",

language = "Undefined",

isbn = "978-3-642-20008-3",

publisher = "Springer",

pages = "193--198",

booktitle = "Proceedings of the International Conference on Operations Research, OR2010",

address = "Germany",

note = "International Conference on Operations Research, OR2010, Munich, Germany ; Conference date: 30-11-2010",

}

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

CY - London

T2 - International Conference on Operations Research, OR2010, Munich, Germany

Y2 - 30 November 2010

ER -