| Title: | Assessing the potential of electrochemical impedance spectroscopy as a supporting tool for equivalent circuit modeling in battery management systems |
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| Authors: | ID Batiuk, Denis (Author)
ID Mele, Igor (Author)
ID Zelič, Klemen (Author)
ID Pec, Martin (Author)
ID Katrašnik, Tomaž (Author)
ID Chowdhury, Amor (Author) |
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| Files: |  RAZ_Batiuk_Denis_2026.pdf (654,33 KB)
MD5: 65210E5DE4E0600529AD4E1C01A8EEC7
 https://doi.org/10.18690/jet.19.1.83-108.2026
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FE - Faculty of Energy Technology
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| Abstract: | Accurate yet computationally efficient battery models are essential for industrial battery management systems (BMS), which operate under strict constraints on sensing and processing power, as well as certification requirements. Electrical equivalent circuit models (ECMs) are therefore adopted widely in practice, while physics-based models (PBMs) provide detailed descriptions of transport, kinetic, and degradation processes, but are not yet adopted in embedded implementation. The present work assesses the potential of electrochemical impedance spectroscopy (EIS) as a supporting tool for equivalent circuit modeling in BMS applications, with an emphasis on its ability to provide frequency-resolved, process-level indications rather than direct parameter information. By separating the ohmic, charge-transfer, and diffusion-related contributions in the frequency domain, EIS offers complementary insights that are not accessible through time-domain measurements alone. The analysis addresses how such indications can guide ECM structure selection and parameter interpretation, the limitations imposed by measurement duration, noise, and temperature gradients, and the feasibility of EIS-supported modeling approaches under typical BMS constraints. The results delineate the scope within which frequency- informed modeling can enhance physical consistency and diagnostic interpretability while preserving the computational characteristics required for BMS implementation. |
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| Keywords: | electrochemical impedance spectroscopy, battery management system, equivalent circuit models, physics-based models, lithium-ion batteries, frequency-domain analysis, parameter identification, diagnostics |
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| Publication status: | Published |
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| Publication date: | 01.07.2026 |
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| Year of publishing: | 2026 |
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| Number of pages: | str. 83-108 |
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| Numbering: | Letn. 19, št. 1 |
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| PID: | 20.500.12556/DKUM-98913  |
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| UDC: | 621.355.8:004.94:621.317.33 |
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| ISSN on article: | 1855-5748 |
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| COBISS.SI-ID: | 285069827 |
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| DOI: | 10.18690/jet.19.1.83-108.2026 |
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| Publication date in DKUM: | 17.07.2026 |
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| Views: | 285 |
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| Downloads: | 6 |
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| Metadata: |    |
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| Categories: | Misc.
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