2017/11/09 by Liang He, He, Liang, Kang G. Shin +1
Computer Science · Engineering · #Advanced Battery Technologies Research #Age of Information Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Green IT and Sustainability #Other Computer Science (cs.OH) #Signal Processing (eess.SP) #cs.OH #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1711.03651
arxiv created 2017/11/09 · openalex publication_date 2017/11/09 · arxiv updated 2017/11/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Mobile devices are only as useful as their battery lasts. Unfortunately, the operation and life of a mobile device's 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 users' 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 <5% error in SoH estimation.