Full Charge Capacity and Charging Diagnosis of Smartphone Batteries
Full Charge Capacity and Charging Diagnosis of Smartphone Batteries
复制标题
智能手机电池的满充电容量及充电诊断
DOI：
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发表时间：
2017
影响因子：
7.9
通讯作者：
Sasu Tarkoma
中科院分区：
文献类型：
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作者：
M. A. Hoque;M. Siekkinen;Jonghoe Koo;Sasu Tarkoma
完全充电容量 (FCC) 是指电池可以容纳的电量。这是智能手机电池的基本特性，随着电池老化和充电/放电，该特性会减弱。我们研究了智能手机电池在充电时的行为，并证明电池电压和充电速率信息可以共同表征电池的 FCC。我们提出了一种准确估计 FCC 的新方法，无需暴露低级系统细节或引入新的硬件或系统模块。我们进一步提出并实施了一种基于众包电池数据的协作 FCC 估计技术。该方法从数据中找到特定智能手机型号的参考电压曲线和充电速率，然后与单个设备的参考电压曲线和充电速率进行比较。在针对众包速率与 FCC 模型分析大量数据集后，我们报告称，55% 的设备以及 357 种独特设备型号中的 330 种设备中的至少一种设备丢失了部分 FCC。对于某些旧设备型号，容量损失中位数超过 20%。这些模型进一步支持调试智能手机充电的性能。我们提出了一种名为 BatterySense 的算法，它利用众包速率来检测异常充电性能、估计设备电池的 FCC 并检测电池变化。
Full charge capacity (FCC) refers to the amount of charge a battery can hold. It is the fundamental property of smartphone batteries that diminishes as the battery ages and is charged/discharged. We investigate the behavior of smartphone batteries while charging and demonstrate that battery voltage and charging rate information can together characterize the FCC of a battery. We propose a new method for accurately estimating FCC without exposing low-level system details or introducing new hardware or system modules. We further propose and implement a collaborative FCC estimation technique that builds on crowd-sourced battery data. The method finds the reference voltage curve and charging rate of a particular smartphone model from the data and then compares with those of an individual device. After analyzing a large data set towards a crowd-sourced rate versus FCC model, we report that 55 percent of all devices and at least one device in 330 out of 357 unique device models lost some of their FCC. For some old device models, the median capacity loss exceeded 20 percent. The models further enable debugging the performance of smartphone charging. We propose an algorithm, called BatterySense, which utilizes crowd-sourced rate to detect abnormal charging performance, estimate FCC of the device battery, and detect battery changes.