智能电池:材料,监控和人工智能
Nan Zhang1, Tianyi Hou1, Gaoce Han1
1State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. yuyf@hust.edu.cn.
Chemical Society reviews
|September 24, 2025
概括
智能电池通过整合响应性材料,传感和人工智能来提供增强的稳定性,安全性和可持续性. 这些进步解决了当前离子电池的局限性,为智能储能铺平了道路.
科学领域:
- 材料科学 材料科学 材料科学
- 储能 储能 储能 储能 储能 储能
- 人工智能的人工智能
背景情况:
- 传统的离子电池在资源可用性,安全性和环境影响方面面临限制.
- 智能电池通过解决这些关键问题,提供了变革性的解决方案.
研究的目的:
- 提供对智能电池技术的全面审查.
- 突出智能电池的定义特征:稳定性,安全性,可持续性和敏感性 (4S).
主要方法:
- 检查响应性材料的突破,用于自我保护,自我愈合,自我适应,自我诊断和自我充电.
- 详细介绍了用于实时安全监控的最新传感技术.
- 分析先进的人工智能 (AI) 算法,用于预测寿命管理.
主要成果:
- 智能电池整合了响应敏捷的材料,高精度传感和人工智能驱动的管理,以提高性能和安全性.
- 响应性材料展示了所有电池组件的自我修复和自我充电能力.
- 人工智能算法使预测寿命管理和前所未有的电池性能控制成为可能.
结论:
- 智能电池即将彻底改变储能方式,推动可持续能源转型.
- 材料科学,诊断和预测分析领域的跨学科研究对于未来的发展至关重要.
- 智能电池为智能电力系统提供了增强的性能,安全性和环境兼容性.
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