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Minimizing Capacity Degradation of Heterogeneous Batteries in a Mobile Embedded System
IEEE Embedded Systems Letters ( IF 1.6 ) Pub Date : 2020-03-01 , DOI: 10.1109/les.2019.2929069
Jaeheon Kwak , Jinkyu Lee

As different batteries exhibit their own advantages and disadvantages, a single-type battery system for a mobile embedded system (such as smartphones and tablet PC) cannot overcome the inherent limitations of its target battery. For example, although the lithium cobalt oxide (LCO) battery is the most popular battery for mobile embedded systems due to its high energy density, mobile embedded systems equipped with LCO batteries suffer from rapid capacity degradation. In this letter, we target heterogeneous batteries in a mobile embedded system and propose a method for minimizing the capacity degradation of the batteries. To this end, we first analyze factors that affect capacity degradation, and choose dominant factors that are controllable in a mobile embedded system. We then build a battery degradation model considering the factors, and finally develop a battery scheduling algorithm that minimizes capacity degradation using the degradation model. Our evaluation with real experiments and simulations demonstrates the effectiveness of the proposed algorithm in minimizing capacity degradation.

中文翻译:

最大限度地减少移动嵌入式系统中异构电池的容量下降

由于不同电池各有优缺点,移动嵌入式系统(如智能手机和平板电脑)的单一类型电池系统无法克服其目标电池的固有局限性。例如,虽然钴酸锂(LCO)电池由于能量密度高而成为移动嵌入式系统最受欢迎的电池,但配备LCO电池的移动嵌入式系统存在容量快速下降的问题。在这封信中,我们针对移动嵌入式系统中的异构电池,并提出了一种最小化电池容量退化的方法。为此,我们首先分析影响容量退化的因素,选择移动嵌入式系统中可控的主导因素。然后我们建立一个考虑因素的电池退化模型,并最终开发一种电池调度算法,使用退化模型最小化容量退化。我们对真实实验和模拟的评估证明了所提出的算法在最小化容量退化方面的有效性。
更新日期:2020-03-01
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