Computing Battery Lifetime Distributions

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

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

    38 Citations (Scopus)
    110 Downloads (Pure)

    Abstract

    The usage 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. We model this complex behaviour with an inhomogeneous Markov reward model, following the approach of the so-called Kinetic battery Model (KiBaM). The state-dependent reward rates thereby correspond to the power consumption of the attached device and to the available charge, respectively. We develop a tailored numerical algorithm for the computation of the distribution of the consumed energy and show how different workload patterns influence the overall lifetime of a battery.
    Original languageUndefined
    Title of host publicationProceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2007)
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society Press
    Pages780-789
    Number of pages10
    ISBN (Print)978-0-7695-2855-7
    DOIs
    Publication statusPublished - Jun 2007

    Publication series

    Name
    PublisherIEEE Computer Society Press
    NumberLNCS4549

    Keywords

    • IR-64313
    • Markov reward models
    • METIS-241862
    • EWI-10949
    • Batteries

    Cite this

    Cloth, L., Haverkort, B. R. H. M., & Jongerden, M. R. (2007). Computing Battery Lifetime Distributions. In Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2007) (pp. 780-789). [10.1109/DSN.2007.26] Los Alamitos: IEEE Computer Society Press. https://doi.org/10.1109/DSN.2007.26