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Best practices for incremental capacity analysis

delete2022-10-03
delete63
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OA
AI
M
Matthieu Dubarry *
D
David Anseán
DOI:10.3389/fenrg.2022.1023555delete
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Abstract

Abstract

En 中文
This publication will present best practices for incremental capacity analysis, a technique whose popularity is growing year by year because of its ability to identify battery degradation modes for diagnosis and prognosis. While not complicated in principles, the analysis can often feel overwhelming for newcomers because of contradictory information introduced by ill-analyzed datasets. This work aims to summarize and centralize good practices to provide a strong baseline to start a proper analysis. We will provide general comments on the technique and how to avoid the main pitfalls. We will also discuss the best starting points for the most common battery chemistries such as layered oxides, iron phosphate, spinel or blends for positive electrodes and graphite, silicon oxide, or lithium titanate for negative electrodes. Finally, a set of complete synthetic degradation maps for the most common commercially available chemistries will be provided and discussed to serve as guide for future studies.
Keywords:
incremental capacity (IC or dQ
dV)
ICA
Li-ion
voltage response
degradation modes

Journal

Frontiers in Energy Research cover
Frontiers in Energy Research
IF:
2.4
Papers:
950
Citations:
1.4W

Organization

U
University of Hawaii Manoa
Scholars:
6.0K
Papers: 4.8K
Citations: 9
University of Hawaii System cover
University of Hawaii System
Scholars:
1.6W
Papers: 1.5W
Citations: 1.2W