自行车
刚度
压力(语言学)
硅
锂(药物)
可靠性工程
材料科学
计算机科学
过程(计算)
结构工程
工程类
复合材料
光电子学
医学
语言学
哲学
考古
内分泌学
操作系统
历史
作者
Kai Zhang,Junwu Zhou,Tian Tian,Yue Kai,Yong Li,Bailin Zheng,Fuqian Yang
标识
DOI:10.1016/j.ijfatigue.2023.107660
摘要
Currently, there are few analyses available to quantitatively uncover the effects of cycling-induced damage in silicon-based batteries on the stress evolution and capacity loss. We develop a comprehensive model to address this issue. The comparisons between numerical and experimental results validate the proposed model and illustrate the damage effects on the decrease of structural stiffness and the stress evolution. In contrast to the common perception that damage is unfavorable to batteries, we propose a concept of training of batteries which introduces sufficient damage to batteries to improve retention performance. The training process is implemented by electrochemical cycling under a large C-rate, and its merit is validated experimentally. We also discuss optimization of the training method.
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