Assessing the Potential of Electrochemical Impedance Spectroscopy as a Supporting Tool for Equivalent Circuit Modeling in Battery Management Systems

Authors

  • Denis Batiuk University of Maribor, Faculty of Energy Technology
  • Igor Mele University of Ljubljana, Faculty of Mechanical Engineering
  • Klemen Zelič University of Ljubljana, Faculty of Mechanical Engineering
  • Martin Pec University of Maribor, Faculty of Electrical Engineering and Computer Science , EMSISO d.o.o.
  • Tomaž Katrašnik University of Ljubljana, Faculty of Mechanical Engineering
  • Amor Chowdhury University of Maribor, Faculty of Energy Technology

DOI:

https://doi.org/10.18690/jet.19.1.83-108.2026

Keywords:

Electrochemical Impedance Spectroscopy, Battery Management System, Equivalent Circuit Models, Physics-Based Models, Lithium-ion Batteries, Frequency-domain Analysis, Parameter Identification, Diagnostics

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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Author Biographies

  • Denis Batiuk, University of Maribor, Faculty of Energy Technology

    Krško, Slovenia; Email: denis.batiuk1@um.si

  • Igor Mele, University of Ljubljana, Faculty of Mechanical Engineering

    Ljubljana, Slovenia; Email: igor.mele@fs.uni-lj.si

  • Klemen Zelič, University of Ljubljana, Faculty of Mechanical Engineering

    Ljubljana; Slovenia; Email: klemen.zelic@fs.uni-lj.si

  • Martin Pec, University of Maribor, Faculty of Electrical Engineering and Computer Science, EMSISO d.o.o.

    Maribor, Slovenia; Email: martin.pec@emsiso.com

  • Tomaž Katrašnik, University of Ljubljana, Faculty of Mechanical Engineering

    Ljubljana; Slovenia: Email: tomaz.katrasnik@fs.uni-lj.si

  • Amor Chowdhury, University of Maribor, Faculty of Energy Technology

    Krško, Slovenia; Email: amor.chowdhury@um.si

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Published

15.07.2026

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How to Cite

Batiuk, D., Mele, I., Zelič, K., Pec, M., Katrašnik, T., & Chowdhury, A. (2026). Assessing the Potential of Electrochemical Impedance Spectroscopy as a Supporting Tool for Equivalent Circuit Modeling in Battery Management Systems. Journal of Energy Technology, 19(1), 83-108. https://doi.org/10.18690/jet.19.1.83-108.2026

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