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 language | Undefined |
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Title of host publication | Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2007) |
Place of Publication | Los Alamitos |
Publisher | IEEE |
Pages | 780-789 |
Number of pages | 10 |
ISBN (Print) | 978-0-7695-2855-7 |
DOIs | |
Publication status | Published - Jun 2007 |
Event | 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2007 - Edinburgh, UK, Edinburgh, United Kingdom Duration: 25 Jun 2007 → 28 Jun 2007 Conference number: 37 |
Publication series
Name | |
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Publisher | IEEE Computer Society Press |
Number | LNCS4549 |
Conference
Conference | 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2007 |
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Abbreviated title | DSN |
Country/Territory | United Kingdom |
City | Edinburgh |
Period | 25/06/07 → 28/06/07 |
Other | 25-28 June 2007 |
Keywords
- IR-64313
- Markov reward models
- METIS-241862
- EWI-10949
- Batteries