固态电池的接口工程和安全:从以人为中心的见解向人工智能驱动的创新迈进
Elnaz Karimi1, Stefan Iglauer1, Muhammad Rizwan Azhar1
1School of Engineering, Edith Cowan University, 270 Joondalup Drive, Joondalup 6027, Australia.
Advances in colloid and interface science
|October 16, 2025
概括
固态电池提供了更高的安全性和能量密度,但面临着接口挑战. 人工智能加速解决稳定,可靠的固态电池性能和商业化解决方案.
科学领域:
- 材料科学 材料科学 材料科学
- 电化学 电化学 电化学
- 储能 储能 储能 储能 储能 储能
背景情况:
- 固态电池 (SSB) 承诺比传统的离子电池 (LIB) 更高的安全性和能量密度.
- 关键的挑战包括为稳定的性能提供接口工程,并防止树石的形成,这会影响安全性和可靠性.
- 克服这些接口问题对于SSB的广泛采用至关重要.
研究的目的:
- 突出界面工程在固态电池开发中的关键作用.
- 探索人工智能 (AI) 和机器学习 (ML) 在优化SSB接口方面的潜力.
- 解决阻碍SSB商业化在电动汽车和电网存储等应用中的挑战.
主要方法:
- 对SSB的接口工程策略的审查.
- 在界面行为预测建模中讨论AI/ML应用.
- 分析增强机械稳定性和防止树生长的方法.
主要成果:
- 有效的接口工程对于减轻阻力,提高机械稳定性和防止热失控至关重要.
- 人工智能/ML加速了SSB接口的材料发现和故障预测.
- 解决接口挑战是释放SSB潜力的关键.
结论:
- 由AI/ML支持的接口工程对于安全可靠的固态电池运行至关重要.
- 这些进步为SSB在苛刻的应用中商业化铺平了道路.
- 优化界面对于实现SSB技术的全部好处至关重要.
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