| Battery lifetime prediction for energy-aware computing |
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International Symposium on Low Power Electronics and Design
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Proceedings of the 2002 international symposium on Low power electronics and design
table of contents
Monterey, California, USA
SESSION: Session 6
table of contents
Pages: 154 - 159
Year of Publication: 2002
ISBN:1-58113-475-4
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Downloads (6 Weeks): 7, Downloads (12 Months): 86, Citation Count: 8
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ABSTRACT
Predicting the time of full discharge of a finite-capacity energy source, such as a battery, is important for the design of portable electronic systems and applications. In this paper we present a novel analytical model of a battery that not only can be used to predict battery lifetime, but also can serve as a cost function for optimization of the energy usage in battery-powered systems. The model is physically justified, and involves only two parameters, which are easily estimated. The paper includes the results of extensive experimental evaluation of the model with respect to numerical simulations of the electrochemical cell, as well as measurements taken on a real battery. The model was tested using constant, interrupted, periodic and non-periodic discharge profiles, which were derived from standard applications run on a pocket computer.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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[doi> 10.1145/343647.343694]
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Debashis Panigrahi , Sujit Dey , Ramesh Rao , Kanishka Lahiri , Carla Chiasserini , Anand Raghunathan, Battery Life Estimation of Mobile Embedded Systems, Proceedings of the The 14th International Conference on VLSI Design (VLSID '01), p.57, January 03-07, 2001
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CITED BY 8
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I. Kadayif , M. Kandemir , G. Chen , N. Vijaykrishnan , M. J. Irwin , A. Sivasubramaniam, Compiler-directed high-level energy estimation and optimization, ACM Transactions on Embedded Computing Systems (TECS), v.4 n.4, p.819-850, November 2005
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