✲-Aware Charging of Lithium-Ion Battery Cells

Liang He, Eugene Kim, K. Shin
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引用次数: 13

Abstract

Lithium-ion cells are widely used in various platforms, such as electric vehicles (EVs) and mobile devices. Complete and fast charging of cells has always been the goal for sustainable system operation. However, fast charging is not always the best solution, especially in view of a new finding that cells need to rest/relax after being charged with high current to avoid accelerated capacity fading. Fast charging for its typical Charge-and-Go scenario does not allow this needed relaxation. In this paper, we propose *-Aware, a novel charging algorithm which maximizes the charged capacity within the user-specified available charging time (i.e., user-awareness) while ensuring enough relaxation (i.e., cell-awareness). We motivate and evaluate *-Aware via extensive measurements over 10 months. *-Aware is shown to improve the charged capacity by 6.9-50.5% over other charging algorithms that also ensure relaxation, and by almost 3x in some extreme cases. Furthermore, *-Aware slows down the capacity fading by 49.55% when compared to fast charging.
对锂离子电池进行有意识的充电
锂离子电池广泛应用于各种平台,如电动汽车(ev)和移动设备。电池的完全和快速充电一直是可持续系统运行的目标。然而,快速充电并不总是最好的解决方案,特别是考虑到一项新的发现,即电池在大电流充电后需要休息/放松,以避免加速容量衰减。其典型的“充电即走”场景的快速充电不允许这种必要的放松。在本文中,我们提出了一种新的充电算法*-Aware,该算法在用户指定的可用充电时间(即用户感知)内最大化充电容量,同时确保足够的放松(即细胞感知)。我们通过10个月的广泛测量来激励和评估*-Aware。*-Aware被证明比其他充电算法提高6.9-50.5%的充电容量,也确保了放松,在某些极端情况下几乎提高了3倍。此外,与快速充电相比,*-Aware使容量衰减速度降低了49.55%。
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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