A systematic review of lumped-parameter equivalent circuit models for real-time estimation of lithium-ion battery states
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Electrical models use electrical-circuit analogs such as resistors and capacitors to simulate cell dynamics under different input currents.
“Also widespread are electrical models which use electrical-circuit analogs such as resistors and capacitors, to simulate the cell dynamics under different input currents [13].”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [13]
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Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
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“Also widespread are electrical models which use electrical-circuit analogs such as resistors and capacitors, to simulate the cell dynamics under different input currents [13].”
BackgroundPredicting the state of charge and health of batteries using data-driven machine learning
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An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery
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A Review of Lithium-Ion Battery State of Health Estimation and Prediction Methods
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- Authors
- Nejad, S., Gladwin, D. T., & Stone, D. A.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Gladwin, D.T.
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 316
- Pages
- 183-196
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2341663352
- Cited by
- 565
- References
- 54
- Citations by year
- 2026: 62 · 2025: 80 · 2024: 72 · 2023: 71 · 2022: 66 · 2021: 54 · 2020: 50 · 2019: 42 · 2018: 37 · 2017: 22 · 2016: 9
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Power Sources (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Funders
- University of Sheffield (EP/J500525/1)
- UK Engineering and Physical Sciences Research Council (EPSRC) (EP/K503149/1)
- 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
- lithium-ion batteries, equivalent circuit model, state of charge estimation, state of power estimation, hysteresis modeling, resistor-capacitor networks, dual extended Kalman filter, system identification, LiFePO4, NEDC, temperature effects, battery energy storage
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