Abstract

The use of mobile devices like cell phones, navigation systems, or laptop computers, is limited by the lifetime of the included batteries. This lifetime depends naturally on the rate at which energy is consumed, however, it also depends on the usage pattern of the battery. Continuous drawing of a high current results in an excessive drop of residual capacity. However, during intervals with no or very small currents, batteries do recover to a certain extend. The usage pattern of a device can be well modeled with stochastic workload models. However, one still needs a battery model to describe the effects of the power consumption on the state of the battery. Over the years many different types of battery models have been developed for different application areas. The best type of model to use in the setting of performance modelling are analytical models. In this paper we analyse two well-known analytical models, and show that one is actually an approximation of the other; this was not known previously. Furthermore, we tested the suitability of these models for performance evaluation purpose.
Original languageEnglish
Title of host publication24th UK Performance Engineering Workshop
Subtitle of host publication3–4 July 2008
EditorsAshok Argent-Katwala, Nicholas J. Dingle, Uli Harder
PublisherImperial College London
Pages76-88
Number of pages13
ISBN (Print)978-0-9559703-0-6
StatePublished - 3 Jul 2008
Event24th UK Performance Engineering Workshop 2008 - London, United Kingdom

Publication series

NameDepartment of Computing Technical Reports
PublisherImperial College London
Number9
Volume2008
ISSN (Print)1469-4166
ISSN (Electronic)1469-4174

Workshop

Workshop24th UK Performance Engineering Workshop 2008
CountryUnited Kingdom
CityLondon
Period3/07/084/07/08

Fingerprint

Analytical models
Laptop computers
Stochastic models
Navigation systems
Mobile devices
Electric power utilization

Keywords

  • IR-64866
  • METIS-251067
  • EWI-13042

Cite this

Jongerden, M. R., & Haverkort, B. R. H. M. (2008). Which battery model to use? In A. Argent-Katwala, N. J. Dingle, & U. Harder (Eds.), 24th UK Performance Engineering Workshop: 3–4 July 2008 (pp. 76-88). (Department of Computing Technical Reports; Vol. 2008, No. 9). Imperial College London.

Jongerden, M.R.; Haverkort, Boudewijn R.H.M. / Which battery model to use?

24th UK Performance Engineering Workshop: 3–4 July 2008. ed. / Ashok Argent-Katwala; Nicholas J. Dingle; Uli Harder. Imperial College London, 2008. p. 76-88 (Department of Computing Technical Reports; Vol. 2008, No. 9).

Research output: Scientific - peer-reviewConference contribution

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Jongerden, MR & Haverkort, BRHM 2008, Which battery model to use? in A Argent-Katwala, NJ Dingle & U Harder (eds), 24th UK Performance Engineering Workshop: 3–4 July 2008. Department of Computing Technical Reports, no. 9, vol. 2008, Imperial College London, pp. 76-88, 24th UK Performance Engineering Workshop 2008, London, United Kingdom, 3-4 July.

Which battery model to use? / Jongerden, M.R.; Haverkort, Boudewijn R.H.M.

24th UK Performance Engineering Workshop: 3–4 July 2008. ed. / Ashok Argent-Katwala; Nicholas J. Dingle; Uli Harder. Imperial College London, 2008. p. 76-88 (Department of Computing Technical Reports; Vol. 2008, No. 9).

Research output: Scientific - peer-reviewConference contribution

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AB - The use of mobile devices like cell phones, navigation systems, or laptop computers, is limited by the lifetime of the included batteries. This lifetime depends naturally on the rate at which energy is consumed, however, it also depends on the usage pattern of the battery. Continuous drawing of a high current results in an excessive drop of residual capacity. However, during intervals with no or very small currents, batteries do recover to a certain extend. The usage pattern of a device can be well modeled with stochastic workload models. However, one still needs a battery model to describe the effects of the power consumption on the state of the battery. Over the years many different types of battery models have been developed for different application areas. The best type of model to use in the setting of performance modelling are analytical models. In this paper we analyse two well-known analytical models, and show that one is actually an approximation of the other; this was not known previously. Furthermore, we tested the suitability of these models for performance evaluation purpose.

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Jongerden MR, Haverkort BRHM. Which battery model to use? In Argent-Katwala A, Dingle NJ, Harder U, editors, 24th UK Performance Engineering Workshop: 3–4 July 2008. Imperial College London. 2008. p. 76-88. (Department of Computing Technical Reports; 9).