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2001
IEEE

Battery Life Estimation of Mobile Embedded Systems

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Battery Life Estimation of Mobile Embedded Systems
Since battery life directly impacts the extent and duration of mobility, one of the key considerations in the design of a mobile embedded system should be to maximize the energy delivered by the battery, and hence the battery lifetime. To facilitate exploration of alternative implementations for a mobile embedded system, in this paper we address the issue of developing a fast and accurate battery model, and providing a framework for battery life estimation of Hardware/Software (HW/SW) embedded systems. We introduce a stochastic model of a battery, which can simultaneously model two key phenomena affecting the battery life and the amount of energy that can be delivered by the battery: the Rate Capacity effect and the Recovery effect. We model the battery behavior mathematically in terms of parameters that can be related to physical characteristics of the electro-chemical cell. We show how this model can be used for battery life estimation of a HW/SW embedded system, by calculating batt...
Debashis Panigrahi, Sujit Dey, Ramesh R. Rao, Kani
Added 01 Dec 2009
Updated 01 Dec 2009
Type Conference
Year 2001
Where VLSID
Authors Debashis Panigrahi, Sujit Dey, Ramesh R. Rao, Kanishka Lahiri, Carla-Fabiana Chiasserini, Anand Raghunathan
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