@inproceedings{CAD4X-C-2013,

author = {Donghwa Shin and Woojoo Lee and Kitae Kim and Yanzhi Wang and Qing Xie and Massoud Pedram and Naehyuck Chang},

title = {Online Estimation of the Remaining Energy Capacity in Mobile Systems Considering System-Wide Power Consumption and Battery Characteristics},

booktitle = {Proceedings of Proceedings of Asia South Pacific Design Automation Conference (ASP-DAC)},

year = {2013},

pages  = {59-64},

location = {Yokohama, Japan},

month = {January},

note = {},

abstract = {Emerging mobile systems integrate a lot of functionality into a small form factor with a small energy source in the form of rechargeable battery. This situation necessitates accurate esti- mation of the remaining energy in the battery such that user applications can be judicious on how they consume this scarce and precious resource. This paper thus focuses on estimating the remaining battery energy in Android OS-based mobile systems. This paper proposes to instrument the Android kernel in order to collect and report accurate subsystem activity values based on real-time profiling of the running applications. The activity in- formation along with offline-constructed, regression-based power macro models for major subsystems in the smartphone yield the power dissipation estimate for the whole system. Next, while ac- counting for the rate-capacity effect in batteries, the total power dissipation data is translated into the battery¡?s energy depletion rate, and subsequently, used to compute the battery¡?s remaining lifetime based on its current state of charge information. Finally, this paper describes a novel application design framework, which considers the batterys state-of-charge (SOC), batterys energy de- pletion rate, and service quality of the target application. The benefits of the design framework are illustrated by examining an archetypical case, involving the design space exploration and op- timization of a GPS-based application in an Android OS.},

keywords = {},

}