在离子电池的热失控建模方面的进展和挑战
Gongquan Wang1, Ping Ping2, Depeng Kong1
1Center for Offshore Engineering and Safety Technology, China University of Petroleum (East China), Qingdao 266580, China.
Innovation (Cambridge (Mass.))
|May 15, 2024
概括
在离子电池 (LIB) 中准确预测热逃跑 (TR) 对安全至关重要. 这篇评论探讨了TR建模,涵盖了机制,多物理合和人工智能进步,以实现更安全的电池设计和应用.
科学领域:
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
- 电池技术 电池技术
背景情况:
- 离子电池 (LIB) 是重要的能量存储设备.
- 安全问题,特别是热逃跑 (TR),限制了LIB应用.
- 准确的TR预测对于提高电池安全性和设计至关重要.
研究的目的:
- 为离子电池 (LIB) 提供热逃跑 (TR) 建模技术的全面审查和展望.
- 分析TR建模的最新进展,当前挑战和未来方向.
- 为突出准确TR预测对电池安全的重要性.
主要方法:
- 对TR进化过程和机制的多层次视角的审查.
- 引入一个多物理合模型框架 (热,电,机械,流体动力学).
- 讨论加速TR模拟的建模策略和AI的作用.
主要成果:
- 在LIB中详细概述TR机制和多物理合.
- 确定开发和整合热,电,机械和流体动态模型的挑战.
- 对下一代TR模型的AI驱动方法的探索.
结论:
- 有效的TR建模需要解决多尺度模拟,多物理合和计算效率.
- 先进的建模策略,包括人工智能,是克服当前挑战的关键.
- 需要对数据可用性,模型可扩展性和安全标准进行进一步的研究,以实现可靠的TR预测.
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