Publication result detail

Comprehensive Digital Twin for Lithium-Ion Battery Cell Behavior Modeling

SEDLAŘÍK, M.; VYROUBAL, P.; CAPKOVÁ, D.; ŠEDINA, M.; KAZDA, T.

Original Title

Comprehensive Digital Twin for Lithium-Ion Battery Cell Behavior Modeling

English Title

Comprehensive Digital Twin for Lithium-Ion Battery Cell Behavior Modeling

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This work presents a digital-twin framework for second-life nickel–manganese–cobalt (NMC) Li-ion pouch cells that fuses physics-based and data-driven modeling. A thermal model captures temperature dynamics, while HPPC-derived measurements inform a semi-empirical equivalent-circuit model of the electrical behavior. Both are reduced to a computationally efficient reduced-order model for real-time use. The twin interfaces with hardware to stream voltage, current, and temperature, enabling continuous health monitoring and embedded safety actions, including grid disconnection to mitigate thermal runaway. Targeting cells with 20–30% capacity fade, the system detects anomalies, forecasts degradation trends, and supports predictive maintenance, improving operational reliability and extending usable lifetime in stationary second-life applications.

English abstract

This work presents a digital-twin framework for second-life nickel–manganese–cobalt (NMC) Li-ion pouch cells that fuses physics-based and data-driven modeling. A thermal model captures temperature dynamics, while HPPC-derived measurements inform a semi-empirical equivalent-circuit model of the electrical behavior. Both are reduced to a computationally efficient reduced-order model for real-time use. The twin interfaces with hardware to stream voltage, current, and temperature, enabling continuous health monitoring and embedded safety actions, including grid disconnection to mitigate thermal runaway. Targeting cells with 20–30% capacity fade, the system detects anomalies, forecasts degradation trends, and supports predictive maintenance, improving operational reliability and extending usable lifetime in stationary second-life applications.

Keywords

Li-ion battery, Digital twin, Equivalent circuit model

Key words in English

Li-ion battery, Digital twin, Equivalent circuit model

Authors

SEDLAŘÍK, M.; VYROUBAL, P.; CAPKOVÁ, D.; ŠEDINA, M.; KAZDA, T.

Released

22.05.2025

Location

United States

Periodical

Meeting abstracts

State

United States of America

Pages count

2

URL

https://iopscience.iop.org/article/10.1149/MA2025-01271514mtgabs

BibTex

@inproceedings{BUT198477,
  author="Marek {Sedlařík} and Petr {Vyroubal} and Dominika {Capková} and Martin {Šedina} and Tomáš {Kazda}",
  title="Comprehensive Digital Twin for Lithium-Ion Battery Cell Behavior Modeling",
  year="2025",
  journal="Meeting abstracts",
  pages="2",
  address="United States",
  doi="10.1149/MA2025-01271514mtgabs",
  issn="1091-8213",
  url="https://iopscience.iop.org/article/10.1149/MA2025-01271514mtgabs"
}