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Battery State-of-Health Estimation for Mobile Devices

机译:移动设备的电池健康状态估计

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Insufficient support of electric current sensing on commodity mobile devices leads to inaccurate estimation of their battery's stateof-health (SoH), which, in turn, shuts them off unexpectedly and accelerates their battery fading. In this paper, we design V-BASH, a new battery SoH estimation method based only on their voltages and is compatible to commodity mobile devices. V-BASH is inspired by the physical phenomenon that the relaxing battery voltages correlate to battery SoH. Moreover, it is enabled on mobile devices with a common usage pattern of most users frequently taking a long time to charge their devices. The design of V-BASH is guided by 2,781 empirically collected relaxing voltage traces with 19 mobile device batteries. We evaluate V-BASH using both laboratory experiments and field tests on mobile devices, showing a <;6% error in SoH estimation.
机译:商用移动设备上对电流感应的支持不足会导致对它们的电池健康状态(SoH)的估计不准确,从而反过来会意外关闭它们并加速其电池衰落。在本文中,我们设计了V-BASH,这是一种仅基于电池电压的新型SoH估计方法,并且与商用移动设备兼容。 V-BASH受松弛电池电压与电池SoH相关的物理现象的启发。而且,在具有大多数用户的常用使用模式的移动设备上启用了该功能,这通常需要花费很长时间为他们的设备充电。 V-BASH的设计以19个移动设备电池的2781个凭经验收集的松弛电压迹线为指导。我们使用实验室实验和在移动设备上的现场测试对V-BASH进行评估,显示SoH估算中的误差小于6%。

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