Battery state-of-health estimation for mobile devices

Liang He, Eugene Kim, Kang G. Shin, Guozhu Meng, Tian He

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

5 Scopus citations

Abstract

Insufficient support of electric current sensing on commodity mobile devices leads to inaccurate estimation of their Battery's state-of-health (SoH), which, in turn, shuts them off unexpectedly and accelerates their Battery fading. In this paper, we design V-BASH, a new Battery SoH estimation method based only on their voltages and is compatible to commodity mobile devices. V-BASH is inspired by the physical phenomenon that the relaxing Battery voltages correlate to Battery SoH. Moreover, it is enabled on mobile devices with a common usage pattern of most users frequently taking a long time to charge their devices. The design of V-BASH is guided by 2; 781 empirically collected relaxing voltage traces with 19 mobile device batteries. We evaluate V-BASH using both laboratory experiments and field tests on mobile devices, showing a <6% error in SoH estimation.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems, ICCPS 2017 (part of CPS Week)
PublisherAssociation for Computing Machinery, Inc
Pages51-60
Number of pages10
ISBN (Electronic)9781450349659
DOIs
StatePublished - Apr 18 2017
Event8th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2017 - Pittsburgh, United States
Duration: Apr 18 2017Apr 20 2017

Publication series

NameProceedings - 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems, ICCPS 2017 (part of CPS Week)

Other

Other8th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2017
CountryUnited States
CityPittsburgh
Period4/18/174/20/17

Keywords

  • Battery management
  • Mobile device
  • Relaxation
  • State of health

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  • Cite this

    He, L., Kim, E., Shin, K. G., Meng, G., & He, T. (2017). Battery state-of-health estimation for mobile devices. In Proceedings - 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems, ICCPS 2017 (part of CPS Week) (pp. 51-60). (Proceedings - 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems, ICCPS 2017 (part of CPS Week)). Association for Computing Machinery, Inc. https://doi.org/10.1145/3055004.3055018