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 language||English (US)|
|Title of host publication||Proceedings - 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems, ICCPS 2017 (part of CPS Week)|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||10|
|State||Published - Apr 18 2017|
|Event||8th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2017 - Pittsburgh, United States|
Duration: Apr 18 2017 → Apr 20 2017
|Name||Proceedings - 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems, ICCPS 2017 (part of CPS Week)|
|Other||8th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2017|
|Period||4/18/17 → 4/20/17|
Bibliographical noteFunding Information:
The work reported in this paper was supported by NSF under Grants CNS-1329702 and CNS-1446117.
© 2017 ACM.
- Battery management
- Mobile device
- State of health