Name
Abstract | ||
|---|---|---|
Mobile devices are only as useful as their battery lasts. Unfortunately, the operation and life of a mobile deviceu0027s battery degrade over time and usage. The state-of-health (SoH) of batteries quantifies their degradation, but mobile devices are unable to support its accurate estimation -- despite its importance -- due mainly to their limited hardware and dynamic usage patterns, causing various problems such as unexpected device shutoffs or even fire/explosion. To remedy this lack of support, we design, implement and evaluate V-Health, a low-cost user-level SoH estimation service for mobile devices based only on their battery voltage, which is commonly available on all commodity mobile devices. V-Health also enables four novel use-cases that improve mobile usersu0027 experience from different perspectives. The design of V-Health is inspired by our empirical finding that the relaxing voltages of a device battery fingerprint its SoH, and is steered by extensive measurements with 15 batteries used for various commodity mobile devices, such as Nexus 6P, Galaxy S3, iPhone 6 Plus, etc. These measurements consist of 13,377 battery discharging/charging/resting cycles and have been conducted over 72 months cumulatively. V-Health has been evaluated via both laboratory experiments and field tests over 4-6 months, showing u003c5% error in SoH estimation. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Signal Processing | Battery voltage,Computer science,Voltage,Mobile device,Phone,Battery (electricity),Electrical engineering |
DocType | Volume | Citations |
Journal | abs/1711.03651 | 0 |
PageRank | References | Authors |
0.34 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| He Liang | 1 | 26 | 6.09 |
| Kang G. Shin | 2 | 14055 | 1487.46 |