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10949 Computing Battery Lifetime Distributions
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Cloth, L. and Haverkort, B.R.H.M. and 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), 25-28 Jun 2007, Edinburgh, UK. pp. 780-789. IEEE Computer Society. ISBN 978-0-7695-2855-7

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Official URL: http://dx.doi.org/10.1109/DSN.2007.26

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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.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-DACS: Design and Analysis of Communication Systems
Research Program:CTIT-DSN: Dependable Systems and Networks
Research Project:MOQS: Modeling and Analysis of QoS of Component-Based Designs
Uncontrolled Keywords:batteries, Markov reward models
ID Code:10949
Status:Published
Deposited On:21 September 2007
Refereed:Yes
International:Yes
More Information:statisticsmetis

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