Design of an intelligent multi-channel sensor for early detection of thermal decomposition in a lithium-ion battery

Authors

DOI:

https://doi.org/10.15587/1729-4061.2026.362949

Keywords:

lithium-ion battery, sensor, combustion, thermal decomposition, triggering algorithm, Fuzzy Logic

Abstract

This study explores a process underlying the onset and evolution of an irreversible thermochemical reaction that fills a lithium-ion battery (LIB) internally. The issue related to early detection of the onset of thermal decomposition of LIB internal filling is that today there are no unified approaches and clearly defined parameters that would make it possible to predict the failure of LIB. The process of LIB thermal decomposition can occur without visual signs and rapidly develop into intense combustion. Obtaining parameters for the onset of the evolution of LIB’s internal filling thermochemical reaction provides prerequisites for designing a sensor for early detection of LIB thermal decomposition.

Based on the results from analytical processing of existing experimental studies on determining the chemical composition of the products of LIB thermal decomposition, the basic parameters have been established. In particular, the change in the concentration of CO2, HF, and Pabs was found to be the basis for further advancement of the model (mathematical basis) of the fuzzy correction unit.

A fuzzy correction module using the Mamdani algorithm has been designed for a multi-channel sensor for early detection of thermal decomposition (SEDTD) in LIB. The forms and parameters of the input and output membership functions have been established. A database of fuzzy rules has been compiled that describe LIB’s possible states. Simulation in the Fuzzy Logic Toolbox package in the MATLAB environment (USA) qualitatively reflects the perception of input signals about the onset and evolution of a thermochemical reaction.

The results of simulation studies have confirmed the effectiveness of the proposed approach. It has been established that the sensor, based on a comprehensive analysis of input parameters such as pressure, CO2 and HF concentrations, forms an information output signal that adequately reflects the technical condition of LIB, in particular normal, pre-fire (pre-emergency), and fire (emergency) states

Author Biographies

Andrii Kushnir, Lviv State University of Life Safety

Candidate of Technical Sciences, Associate Professor

Department of Preventive Activities in the Field of Fire and Technogenic Safety

Oleksandr Lazarenko, Lviv State University of Life Safety

Candidate of Technical Sciences, Associate professor

Department of Preventive Activities in the Field of Fire and Technogenic Safety

Roman Tatsiy, Lviv State University of Life Safety

Doctor of Physical and Mathematical Sciences, Professor

Department of Applied Mathematics and Mechanics

Oleh Bashynskyi, Lviv State University of Life Safety

Candidate of Technical Sciences, Associate Professor

Department of Preventive Activities in the Field of Fire and Technogenic Safety

Roman Aleshko, Lviv State University of Life Safety

Deputy Head of the Center, Head of Department

Department of the Educational and Methodological Center for Civil Protection and Life Safety

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Design of an intelligent multi-channel sensor for early detection of thermal decomposition in a lithium-ion battery

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Published

2026-06-23

How to Cite

Kushnir, A., Lazarenko, O., Tatsiy, R., Bashynskyi, O., & Aleshko, R. (2026). Design of an intelligent multi-channel sensor for early detection of thermal decomposition in a lithium-ion battery. Eastern-European Journal of Enterprise Technologies, 3(5 (141), 6–16. https://doi.org/10.15587/1729-4061.2026.362949

Issue

Vol. 3 No. 5 (141) (2026): Applied physics

Section

Applied physics

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Copyright (c) 2026 Andrii Kushnir, Oleksandr Lazarenko, Roman Tatsiy, Oleh Bashynskyi, Roman Aleshko

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