从采矿到制造业:电池生产背后的科学挑战和机遇
Jie Xiao1,2, Xia Cao2, Bernard Gridley3
1Department of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.
Chemical reviews
|April 22, 2025
概括
本综述审查了过去十年电池制造业的进展,重点是扩大生产规模和应对科学挑战. 它强调需要以成本为导向的研究,人工智能和机器学习的数字化,以及未来电池技术的劳动力发展.
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.
- 制造业 制造技术 制造技术
背景情况:
- 在过去的十年里,电池材料科学取得了重大进展.
- 大规模的电池制造面临着独特的科学和工程挑战.
- 基础研究和工业生产之间的差距需要弥合.
研究的目的:
- 审查过去十年电池制造业的现状和进展情况.
- 确定扩大电池生产规模的关键问题和机会.
- 强调以成本为导向的研究,数字化和劳动力发展.
主要方法:
- 对原材料开采,电池材料和组件扩展方面的进展进行文献综述.
- 分析处理和制造电池技术的挑战.
- 探索机器学习 (ML) 和人工智能 (AI) 在制造业的整合.
主要成果:
- 在了解电池材料方面取得了重大进展,但制造规模扩大存在障碍.
- 以成本为导向的基础研究对工业生产至关重要.
- 通过ML/AI进行数字化为自主电池生产提供了途径.
- 劳动力发展对于满足行业需求至关重要.
结论:
- 加快电池制造需要解决扩大规模的挑战,并弥合研究和生产之间的差距.
- 整合AI/ML和投资劳动力培训是未来电池技术的关键策略.
- 要确保高效和可持续的电池生产,需要采用多视角的方法.
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