阴极
法拉第效率
阳极
分解
材料科学
溶解
碳纤维
涂层
容量损失
钠
过渡金属
电极
电化学
镍
化学工程
化学分解
盐(化学)
化学分解过程
无机化学
金属
降级(电信)
化学
过程(计算)
过电位
电解质
作者
Zilong Zheng,Shu Chen,Gang Wu,Zhenye Kang,Wenwen Wang,Xinwei Du,Chong‐Ke Zhao,Yue Gao
出处
期刊:Angewandte Chemie
[Wiley]
日期:2025-10-11
卷期号:64 (48): e202517997-e202517997
被引量:1
标识
DOI:10.1002/anie.202517997
摘要
Sodium (Na)-ion batteries employing hard carbon anodes suffer from a significant irreversible loss of active Na ions (up to 20%) during the initial formation cycle. Conventional Na-ion compensation methods are hindered by issues such as incomplete decomposition of Na-ion supply agents, the generation of harmful byproducts, and electrode degradation. To address these challenges, we utilized unsupervised machine learning to develop an organic Na salt, methylboronic acid sodium salt (CH3B(ONa)2), which is coated on cathode particles and effectively delivers over 15% Na-ion compensation. Meanwhile, its decomposition product, sodium metaborate (NaBO2), in situ formed a protective cathode coating that mitigates transition metal dissolution. Spectroscopic and microscopic studies identified a free radical mechanism of CH3B(ONa)2 decomposition reaction and effective inhibition of nickel metal dissolution in cathode due to the presence of NaBO2. In addition, no side effects were found in the process of Na-ion supply. The initial coulombic efficiency of a hard carbon|P2-Na0.75Ni0.25Fe0.25Mn0.5O2 pouch cell increased from 81% to 97%, with a capacity retention of 81.5% over 700 cycles. This dual-function approach significantly enhances cycling stability and capacity retention in Na-ion batteries.
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