Developing models to fit capacity–rate data in battery systems

Jonathan N. Coleman; Ruiyuan Tian

doi:10.1016/j.coelec.2019.12.003

Developing models to fit capacity–rate data in battery systems

Jonathan N. Coleman
, Ruiyuan Tian

Trinity College Dublin

Research output: Contribution to journal › Review article › peer-review

14 Scopus citations

Abstract

Analyzing rate performance data in battery electrodes is greatly facilitated by access to simple analytical models. Here, we describe a number of simple equations for fitting capacity–rate data. These equations output fit parameters, such as the characteristic time, which quantify rate performance. This characteristic time can be linked to mechanistic effects, such as diffusion and electrical limitations, allowing quantitative analysis.

Original language	English
Pages (from-to)	1-6
Number of pages	6
Journal	Current Opinion in Electrochemistry
Volume	21
DOIs	https://doi.org/10.1016/j.coelec.2019.12.003
State	Published - Jun 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 Elsevier B.V.

Funding

The authors acknowledge Science Foundation Ireland ( SFI funded AMBER research centre ( SFI/12/RC/2278 ) and Nokia-Bell Labs Ireland for support. JNC thanks SFI ( SFI, 11/PI/1087 ) and the Graphene Flagship (grant agreement n° 785219 ) for funding.

Funders	Funder number
Nokia-Bell Labs Ireland	11/PI/1087, 785219
Science Foundation Ireland	SFI/12/RC/2278

Keywords

Battery
Fitting-equation
Rate-limiting mechanisms
Rate-performance

Access to Document

10.1016/j.coelec.2019.12.003

Cite this

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Developing models to fit capacity–rate data in battery systems

Abstract

Bibliographical note

Funding

Keywords

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