解决 LiB 细胞在其包装应用中的实际挑战
Cher Ming Tan1,2,3,4, Yan Yang5, K Jithendra Mani Kumar6
1Center for Reliability Sciences and Technologies, Chang Gung University, Taoyuan, 333, Taiwan. cmtan@cgu.edu.tw.
Scientific reports
|May 2, 2024
概括
本研究介绍了早期选弱离子电池 (LiB) 细胞并预测其降解率的方法. 这确保了更好的电池组性能和寿命,通过在组装之前识别性能差的电池.
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
- 电池技术 电池技术
背景情况:
- 电池组需要多个离子电池 (LiBs) 连续/并行用于所需的输出功率.
- 如果任何 LiB 细胞的健康状况 (SoH) 下降到 80% 以下,则触发包装更换,从而需要均的细胞降解.
- 目前用于选LiB细胞的方法在预测包整合前降解率时面临实际挑战.
研究的目的:
- 解决估计和预测LiB细胞降解率的实际挑战.
- 开发用于从生产批次中选弱LiB细胞的方法.
- 为了使电池组内单个电池的SoH在线,现场确定.
主要方法:
- 开发一种选技术,利用LiB细胞第一个放电周期的数据.
- 实施一个预测模型,用于统计LiB细胞降解率的分布.
- 设计一种在线现场方法,用于监测包装中的单个LiB细胞的SoH.
主要成果:
- 实验验证证证实了从生产批次中选弱LiB细胞的能力,仅使用第一个放电周期.
- 该研究成功地预测了生产批次中LiB细胞的降解率的统计分布.
- 拟议的在线,现场SoH确定方法是通过多个制造商的各种LiB类型进行验证的.
结论:
- 在生产过程的早期可以有效地选LiB细胞,从而最大限度地减少过早的包装故障.
- 预测降解率可以提高电池组设计和管理策略.
- 开发的在线SoH监测可以实时评估LiB包中的单个细胞的健康状况.
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