Go Gentle into the Good Night via Controlled Battery Discharging

Shih-Hao Liang, T. Chiueh, Welkin Ling
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引用次数: 1

Abstract

Prevalent battery management approaches for mobile devices treated a battery's residual capacity as a given budget and tried to make the best of this budget by turning off lower-priority tasks. In contrast, the research reported in this paper aims to maximize the quantitative value of a battery's residual capacity by operating the battery according to its discharge characteristic curves (DCC), which describes a battery's discharging dynamics in terms of the correlation among its voltage level, capacity and discharging current. According to the DCC theory, it is possible to increase a battery's effective capacity in terms of Ampere hours by capping the discharging current in a certain way after its capacity falls below a threshold. This paper describes a DCC-based Battery Discharging (or DBD) technique that is capable of automatically deriving a battery's DCC, using the DCC to determine a suitable instantaneous discharge current budget, and limiting the total discharge current under that budget. Measurements on an operational prototype show that DBD is capable of extending a battery's residual capacity by more than 20% after its SOC is reduced to 30%.
通过控制电池放电,温柔地进入晚安
移动设备的普遍电池管理方法将电池的剩余容量视为给定的预算,并试图通过关闭低优先级任务来充分利用这一预算。而本文研究的目的是根据电池的放电特性曲线(discharge characteristic curves, DCC)对电池进行操作,最大限度地获得电池剩余容量的定量值。放电特性曲线通过电池的电压水平、容量和放电电流之间的相关关系来描述电池的放电动态。根据DCC理论,在电池容量低于某一阈值后,通过某种方式限制放电电流,可以提高电池的有效容量(以安培小时计)。本文描述了一种基于DCC的电池放电(或DBD)技术,该技术能够自动导出电池的DCC,使用DCC确定合适的瞬时放电电流预算,并将总放电电流限制在该预算范围内。在运行原型上的测量表明,DBD能够在电池SOC降低到30%后将电池的剩余容量延长20%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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