标准化
标杆管理
计算机科学
电化学
可靠性(半导体)
电化学电池
一致性(知识库)
电池(电)
锂(药物)
过程(计算)
可靠性工程
电化学储能
化学
工程类
电极
人工智能
超级电容器
物理化学
营销
功率(物理)
业务
内分泌学
物理
操作系统
医学
量子力学
作者
Brandon R. Long,Steven G. Rinaldo,Kevin G. Gallagher,Dennis W. Dees,Stephen E. Trask,Bryant J. Polzin,Andrew N. Jansen,Daniel P. Abraham,Ira Bloom,Javier Bareño,Jason R. Croy
出处
期刊:Journal of The Electrochemical Society
[The Electrochemical Society]
日期:2016-01-01
卷期号:163 (14): A2999-A3009
被引量:107
摘要
Coin-cells are often the test format of choice for laboratories engaged in battery research and development as they provide a convenient platform for rapid testing of new materials on a small scale. However, reliable, reproducible data via the coin-cell format is inherently difficult, particularly in the full-cell configuration. In addition, statistical evaluation to prove the consistency and reliability of such data is often neglected. Herein we report on several studies aimed at formalizing physical process parameters and coin-cell construction related to full cells. Statistical analysis and performance benchmarking approaches are advocated as a means to more confidently track changes in cell performance. We show that trends in the electrochemical data obtained from coin-cells can be reliable and informative when standardized approaches are implemented in a consistent manner.
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