A model for battery lifetime analysis for organizing applications on a pocket computer

Daler Rakhmatov; Sarma Vrudhula; Deborah A. Wallach

doi:10.1109/TVLSI.2003.819320

A model for battery lifetime analysis for organizing applications on a pocket computer

Daler Rakhmatov, Sarma Vrudhula, Deborah A. Wallach

Engineering, Ira A. Fulton Schools of (IAFSE)

Research output: Contribution to journal › Article › peer-review

188 Scopus citations

Abstract

A battery-powered portable electronic system shuts down once the battery is discharged; therefore, it is important to take the battery behavior into account. A system designer needs an adequate high-level battery model to make battery-aware decisions targeting the maximization of the system's online lifetime. We propose such a model that allows a designer to analytically predict the battery time-to-failure for a given load. Our model also allows for a tradeoff between the accuracy and the amount of computation performed. The quality of the proposed model is evaluated using typical pocket computer applications and a detailed low-level simulation of a lithium-ion electrochemical cell. In addition, we verify the proposed model against actual measurements taken on a real lithium-ion battery.

Original language	English (US)
Pages (from-to)	1019-1030
Number of pages	12
Journal	IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume	11
Issue number	6
DOIs	https://doi.org/10.1109/TVLSI.2003.819320
State	Published - Dec 2003

Keywords

Analysis
Batteries
Low-power design
Performance-tradeoffs
System-level

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/TVLSI.2003.819320

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title = "A model for battery lifetime analysis for organizing applications on a pocket computer",

abstract = "A battery-powered portable electronic system shuts down once the battery is discharged; therefore, it is important to take the battery behavior into account. A system designer needs an adequate high-level battery model to make battery-aware decisions targeting the maximization of the system's online lifetime. We propose such a model that allows a designer to analytically predict the battery time-to-failure for a given load. Our model also allows for a tradeoff between the accuracy and the amount of computation performed. The quality of the proposed model is evaluated using typical pocket computer applications and a detailed low-level simulation of a lithium-ion electrochemical cell. In addition, we verify the proposed model against actual measurements taken on a real lithium-ion battery.",

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author = "Daler Rakhmatov and Sarma Vrudhula and Wallach, {Deborah A.}",

note = "Funding Information: Manuscript received August 21, 2001; revised March 21, 2002. This work was supported in part by the National Science Foundation (NSF) State/Industry/University Cooperative Research Centers (NSF-S/IUCRC), in part by the Center for Low-Power Electronics (CLPE) under Grant EEC-9 523 338, in part by Compaq Western Research Laboratory (WRL), in part by the State of Arizona, and in part by a Consortium of Companies from the Microelectronics Industry.",

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doi = "10.1109/TVLSI.2003.819320",

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N2 - A battery-powered portable electronic system shuts down once the battery is discharged; therefore, it is important to take the battery behavior into account. A system designer needs an adequate high-level battery model to make battery-aware decisions targeting the maximization of the system's online lifetime. We propose such a model that allows a designer to analytically predict the battery time-to-failure for a given load. Our model also allows for a tradeoff between the accuracy and the amount of computation performed. The quality of the proposed model is evaluated using typical pocket computer applications and a detailed low-level simulation of a lithium-ion electrochemical cell. In addition, we verify the proposed model against actual measurements taken on a real lithium-ion battery.

AB - A battery-powered portable electronic system shuts down once the battery is discharged; therefore, it is important to take the battery behavior into account. A system designer needs an adequate high-level battery model to make battery-aware decisions targeting the maximization of the system's online lifetime. We propose such a model that allows a designer to analytically predict the battery time-to-failure for a given load. Our model also allows for a tradeoff between the accuracy and the amount of computation performed. The quality of the proposed model is evaluated using typical pocket computer applications and a detailed low-level simulation of a lithium-ion electrochemical cell. In addition, we verify the proposed model against actual measurements taken on a real lithium-ion battery.

KW - Analysis

KW - Batteries

KW - Low-power design

KW - Performance-tradeoffs

KW - System-level

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A model for battery lifetime analysis for organizing applications on a pocket computer

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Keywords

ASJC Scopus subject areas

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