research-article

Evaluating battery aging on mobile devices

Authors:

Hojung ChaAuthors Info & Claims

DAC '15: Proceedings of the 52nd Annual Design Automation Conference

Article No.: 135, Pages 1 - 6

https://doi.org/10.1145/2744769.2744838

Published: 07 June 2015 Publication History

Abstract

Battery-related problems in mobile devices have been extensively investigated in both industry and literature. In particular, battery aging is a critical issue, since battery lifetime decreases as usage time increases. Battery aging primarily causes inconvenience to users by necessitating frequent recharging, and also affects the accuracy of power estimations for mobile devices. Evaluating battery aging and its effects has rarely been addressed in prior works. In this paper, we propose an online scheme to quantify the battery aging of mobile devices. Specifically, we estimate the degree of battery aging as a ratio metric based on patterns of charging time. For example, an estimate of 50% indicates that the battery capacity is only half of full capacity, meaning that the battery usage time is only approximately half that of the new battery's. Our scheme works autonomously on mobile devices and does not require any external equipment. The extensive experiments demonstrated that the proposed scheme quantifies battery aging accurately.

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Cited By

Oliveira WOliveira RCastor FPinto GFernandes J(2021)Improving energy-efficiency by recommending Java collectionsEmpirical Software Engineering10.1007/s10664-021-09950-y26:3Online publication date: 12-Apr-2021
https://doi.org/10.1007/s10664-021-09950-y
Das ABalsamo DMerrett GAl-Hashimi BCatthoor F(2018)Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones2018 Ninth International Green and Sustainable Computing Conference (IGSC)10.1109/IGCC.2018.8752157(1-6)Online publication date: Oct-2018
https://doi.org/10.1109/IGCC.2018.8752157
Vallejo-Huanga DProaño JMorillo POrtega H(2018)Fault-Tolerant Model Based on Fuzzy Control for Mobile DevicesTechnology Trends10.1007/978-3-030-05532-5_36(488-499)Online publication date: 30-Dec-2018
https://doi.org/10.1007/978-3-030-05532-5_36
Show More Cited By

Index Terms

Evaluating battery aging on mobile devices
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics

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cover image ACM Conferences

DAC '15: Proceedings of the 52nd Annual Design Automation Conference

June 2015

1204 pages

ISBN:9781450335201

DOI:10.1145/2744769

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGDA: ACM Special Interest Group on Design Automation

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Association for Computing Machinery

New York, NY, United States

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Published: 07 June 2015

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National Research Foundation of Korea

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DAC '15

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DAC '15: The 52nd Annual Design Automation Conference 2015

June 7 - 11, 2015

California, San Francisco

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Cited By

Oliveira WOliveira RCastor FPinto GFernandes J(2021)Improving energy-efficiency by recommending Java collectionsEmpirical Software Engineering10.1007/s10664-021-09950-y26:3Online publication date: 12-Apr-2021
https://doi.org/10.1007/s10664-021-09950-y
Das ABalsamo DMerrett GAl-Hashimi BCatthoor F(2018)Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones2018 Ninth International Green and Sustainable Computing Conference (IGSC)10.1109/IGCC.2018.8752157(1-6)Online publication date: Oct-2018
https://doi.org/10.1109/IGCC.2018.8752157
Vallejo-Huanga DProaño JMorillo POrtega H(2018)Fault-Tolerant Model Based on Fuzzy Control for Mobile DevicesTechnology Trends10.1007/978-3-030-05532-5_36(488-499)Online publication date: 30-Dec-2018
https://doi.org/10.1007/978-3-030-05532-5_36
Schlichting MSawin J(2017)Modeling the Effects of Independent Components on Mobile Device Charging Times2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud)10.1109/FiCloud.2017.59(142-147)Online publication date: Aug-2017
https://doi.org/10.1109/FiCloud.2017.59
Chon YLee GHa RCha HLukowicz PKrüger ABulling ALim YPatel S(2016)Crowdsensing-based smartphone use guide for battery life extensionProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2971648.2971728(958-969)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1145/2971648.2971728
Chen YBocca AMacii AMacii EPoncino M(2016)A Li-Ion Battery Charge Protocol with Optimal Aging-Quality of Service Trade-offProceedings of the 2016 International Symposium on Low Power Electronics and Design10.1145/2934583.2934591(40-45)Online publication date: 8-Aug-2016
https://dl.acm.org/doi/10.1145/2934583.2934591
Worgan PKnibbe JFraser MMartinez Plasencia DKaye JDruin ALampe CMorris DHourcade J(2016)PowerShakeProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858569(4734-4745)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858569
Koo JLee KLee WPark YChoi S(2016)BattTracker: Enabling energy awareness for smartphone using Li-ion battery characteristicsIEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications10.1109/INFOCOM.2016.7524422(1-9)Online publication date: Apr-2016
https://doi.org/10.1109/INFOCOM.2016.7524422

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