Evaluating battery aging on mobile devices

Jaeseong Lee, Yohan Chon, Hojung Cha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2015 52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450335201
DOIs
Publication statusPublished - 2015 Jul 24
Event52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015 - San Francisco, United States
Duration: 2015 Jun 82015 Jun 12

Publication series

NameProceedings - Design Automation Conference
Volume2015-July
ISSN (Print)0738-100X

Other

Other52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015
CountryUnited States
CitySan Francisco
Period15/6/815/6/12

Fingerprint

Mobile devices
Mobile Devices
Battery
Aging of materials
Quantify
Estimate
Lifetime
Industry
Experiments
Metric
Decrease

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation

Cite this

Lee, J., Chon, Y., & Cha, H. (2015). Evaluating battery aging on mobile devices. In 2015 52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015 [7167320] (Proceedings - Design Automation Conference; Vol. 2015-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/2744769.2744838
Lee, Jaeseong ; Chon, Yohan ; Cha, Hojung. / Evaluating battery aging on mobile devices. 2015 52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (Proceedings - Design Automation Conference).
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Lee, J, Chon, Y & Cha, H 2015, Evaluating battery aging on mobile devices. in 2015 52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015., 7167320, Proceedings - Design Automation Conference, vol. 2015-July, Institute of Electrical and Electronics Engineers Inc., 52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015, San Francisco, United States, 15/6/8. https://doi.org/10.1145/2744769.2744838

Evaluating battery aging on mobile devices. / Lee, Jaeseong; Chon, Yohan; Cha, Hojung.

2015 52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7167320 (Proceedings - Design Automation Conference; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lee J, Chon Y, Cha H. Evaluating battery aging on mobile devices. In 2015 52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7167320. (Proceedings - Design Automation Conference). https://doi.org/10.1145/2744769.2744838