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Full Charge Capacity and Charging Diagnosis of Smartphone Batteries

机译:智能手机电池的充满电和充电诊断

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摘要

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.
机译:满充电容量(FCC)是指电池可以容纳的电量。智能手机电池的基本属性会随着电池的老化和充电/放电而减少。我们调查了智能手机电池在充电时的行为,并证明了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算FCC的新方法,而无需暴露底层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基于人群来源电池数据的FCC协作估算技术。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率,然后与单个设备的参考电压曲线和充电率进行比较。在针对面向人群的费率与FCC模型分析了大数据集之后,我们报告了357种唯一设备模型中的330%的所有设备中的55%和至少一个设备丢失了一些FCC。对于某些旧设备型号,中值容量损失超过20%。这些模型还可以调试智能手机充电的性能。我们提出了一种称为BatterySense的算法,该算法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。

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