在离子电池中的交叉尺度解动态过程,使用了放松时间的多维分布
Xue Cai1,2, Caiping Zhang1, Haijun Ruan3,4
1National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing, 100044, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|October 8, 2024
概括
这项研究引入了一个新的框架,以准确诊断离子电池退化. 该方法增强了放松时间 (DRT) 分析的分布,以可靠地监测电池健康状况.
科学领域:
- 电化学 电化学 电化学
- 材料科学 材料科学 材料科学
- 电池技术 电池技术
背景情况:
- 对离子电池 (LIB) 退化的非破坏性诊断对于可靠的操作至关重要.
- 放松时间分布 (DRT) 是分析运动过程的强大工具,但在LIBs中因界面阻抗低而受到阻碍.
- 现有的DRT方法对于复杂的LIB系统缺乏足够的解决方案和验证.
研究的目的:
- 开发一个分层的分析框架,以提高时间表的解决方案,并减少DRT分析LIBs的不确定性.
- 为了使LIBs中降解机制的可靠,非破坏性诊断成为可能.
- 为了提高在LIBs中的动力过程解卷的准确性.
主要方法:
- 使用高保真频域模型进行界面阻抗重建,以去除感应和扩散元件.
- 多维DRT分析包括电荷状态 (SOC) 可逆性来解固体电解质介相 (SEI) 和电荷转移 (CT) 过程.
- 基于SOC和温度变化的电极运动演变的表征.
主要成果:
- 重建阻抗使得识别的时间常数的精度提高了约20%.
- 交叉尺度DRT有效地区分了低SOC (10%以下) 和25°C的电极动力学,这是由于强大的阴极CT-SOC相关性.
- 动力指标将阳极SEI或CT确定为不同电池中低温性能的独特速度限制步骤.
结论:
- 拟议的层次框架显著提高了DRT用于LIB诊断的可靠性和准确性.
- 该方法允许精确地解SEI和CT过程,提供对降解机制的洞察力.
- 这项工作表明了对LIB动态演变和健康的非破坏性监测的有希望的方法.
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