耐用水性电池的高强度和低体积度添加剂:通过机器学习实现性能合理化
Yuan Shang1, Varun Kundi1, Ipsita Pal1
1School of Chemical Engineering, UNSW Sydney, Kensington, NSW, 2052, Australia.
Advanced materials (Deerfield Beach, Fla.)
|December 2, 2023
概括
像1,2-butanediol这样的新添加剂通过防止腐蚀和树生长,显著提高水性电池的性能. 这些强大的添加剂提高了循环寿命和效率,使实际应用成为可能.
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
- 储能 储能 储能 储能 储能 储能
背景情况:
- 水性电池提供高能量密度,但遭受阳极腐蚀和树突形成,限制周期寿命.
- 开发低度有效的电解质添加剂对于实际的电池应用至关重要.
研究的目的:
- 为了确定在低度下工作的水性电池的强有力的电解质添加剂.
- 研究添加剂提高阳极稳定性和电池性能的机制.
主要方法:
- 选醇和二醇化学物质作为电解质添加剂.
- 固体电解质介相 (SEI) 形成和介面性质的表征.
- 阳极和全电池的电化学测试,包括循环性能和库伦比效率.
- 机器学习分析以将添加剂性能与物理化学性质相关联.
主要成果:
- 1,2-butanediol和pentanediol被确定为1体积%的高效添加剂.
- 添加剂通过界面膜促进动态SEI形成,减轻腐蚀和树突.
- 在高达99.9%的库伦比效率下,实现了5-20倍的循环可循环性提升.
- 观察到完整细胞性能的改善,即使在高温下也是如此.
结论:
- 低体积度添加剂 (1,2-butanediol,pentanediol) 可以显著提高水性电池的稳定性和周期寿命.
- 该机制涉及在阳极上形成一个保护性,动态的SEI层.
- 机器学习方法有助于合理发现未来用于储能的电解质添加剂.
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