Review of parameterisation and a novel database (LiionDB) for continuum Li-ion battery models Article Swipe
Andrew A. Wang
,
Simon E. J. O’Kane
,
Ferran Brosa Planella
,
James Le Houx
,
Kieran O’Regan
,
Maxim Zyskin
,
Jacqueline Edge
,
Charles W. Monroe
,
Samuel J. Cooper
,
David A. Howey
,
Emma Kendrick
,
Jamie M. Foster
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/2516-1083/ac692c
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/2516-1083/ac692c
The Doyle–Fuller–Newman (DFN) framework is the most popular physics-based continuum-level description of the chemical and dynamical internal processes within operating lithium-ion-battery cells. With sufficient flexibility to model a wide range of battery designs and chemistries, the framework provides an effective balance between detail, needed to capture key microscopic mechanisms, and simplicity, needed to solve the governing equations at a relatively modest computational expense. Nevertheless, implementation requires values of numerous model parameters, whose ranges of applicability, estimation, and validation pose challenges. This article provides a critical review of the methods to measure or infer parameters for use within the isothermal DFN framework, discusses their advantages or disadvantages, and clarifies limitations attached to their practical application. Accompanying this discussion we provide a searchable database, available at www.liiondb.com , which aggregates many parameters and state functions for the standard DFN model that have been reported in the literature.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/2516-1083/ac692c
- https://iopscience.iop.org/article/10.1088/2516-1083/ac692c/pdf
- OA Status
- hybrid
- Cited By
- 86
- References
- 258
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4224291353
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4224291353Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/2516-1083/ac692cDigital Object Identifier
- Title
-
Review of parameterisation and a novel database (LiionDB) for continuum Li-ion battery modelsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-04-21Full publication date if available
- Authors
-
Andrew A. Wang, Simon E. J. O’Kane, Ferran Brosa Planella, James Le Houx, Kieran O’Regan, Maxim Zyskin, Jacqueline Edge, Charles W. Monroe, Samuel J. Cooper, David A. Howey, Emma Kendrick, Jamie M. FosterList of authors in order
- Landing page
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https://doi.org/10.1088/2516-1083/ac692cPublisher landing page
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https://iopscience.iop.org/article/10.1088/2516-1083/ac692c/pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/2516-1083/ac692c/pdfDirect OA link when available
- Concepts
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Computer science, Battery (electricity), Database, Physics, Thermodynamics, Power (physics)Top concepts (fields/topics) attached by OpenAlex
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86Total citation count in OpenAlex
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2025: 24, 2024: 33, 2023: 22, 2022: 7Per-year citation counts (last 5 years)
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258Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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