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Cited by 11Advanced Battery Technologies ResearchControl Systems and IdentificationAdvancements in Battery Materials

Observer design for the Doyle–Fuller–Newman Li-ion battery model without electrolyte dynamics

Drummond, R., Duncan, S.R.·2019·Journal of Energy Storage
DOI 10.1016/j.est.2019.02.012
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Crossref · 10.1016/j.est.2019.02.012

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1 of 1 references verified0 citation errors · 0 not checkable

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  • The DFN model developed by Doyle et al. accounts for diffusion of lithium-ion concentration in the solid and liquid phase.

    “One such electrochemical model is the DFN model developed by Doyle et al [34], which accounts for diffusion of lithium-ion concentration in the solid and liquid phase.”

    From Review Paper for SOC Estimation Techniques: Challenges and Future Areas for Improvement (2024) · cites this paper as [34]

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Authors
Drummond, R., & Duncan, S. R.
Affiliations
University of Oxford (GB)
Corresponding author
Drummond, R.
ORCID
Venue
Journal of Energy Storage
Publisher
Elsevier BV
Published
2019-06
Volume
23
Pages
250-257
ISSN
2352-152X (ISSN-L)
DOI
10.1016/j.est.2019.02.012
OpenAlex
W2931480109
Cited by
11
References
1
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 2 · 2020: 1 · 2019: 1
FWCI
0.46
Type
journal article
Language
en
Open access
closed
Licence
Locations
Journal of Energy Storage (publishedVersion)
Funders
Engineering and Physical Sciences Research Council (EP/P005411/1)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
Keywords
Doyle-Fuller-Newman model, lithium-ion batteries, observer design, state estimation, state of charge estimation, nonlinear systems, exponential convergence, robustness, electrolyte dynamics

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