Proceedings of TUSUR University / Archive / Issue of Journal № 2, t. 28, 2025 / Prediction of Pre-Failure States of Lithium-Ion Batteries Based on Cubic Spline Interpolation

Prediction of Pre-Failure States of Lithium-Ion Batteries Based on Cubic Spline Interpolation

DOI: 10.21293/1818-0442-2025-28-2-175-180

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Abstract: Failures in lithium-ion batteries (LIBs) frequently occur during operation, making the prediction of their pre-failure state a crucial task for preventing emergency situations. In this study, an algorithm for predicting the pre-failure state of LIBs based on the cubic spline method is developed. This method makes it possible to predict a future voltage value in the battery followed by correction by the voltage coming from the sensor. The algorithm creates a digital voltage “portrait” of the battery in its prefailure state that identifies characteristic features that are interpreted as precursors of impending failure. The efficiency of the proposed approach was demonstrated via a computational task that used the algorithm to identify failure precursors. The conducted research demonstrates that the proposed algorithm ensures a high accuracy of such prediction, providing timely warnings about a potential transition of the system to an emergency state.

Keywords: lithium-ion battery, cubic spline interpolation, prefailure state prediction, failure precursor

For citation:
Bukreev V. G., Le-Zha H. H. Prediction of Pre-Failure States of Lithium-Ion Batteries Based on Cubic Spline Interpolation. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2025, vol. 28, no. 2, pp. 175–180. DOI: 10.21293/1818-0442-2025-28-2-175-180

Authors and copyright holders:

Bukreev V. G. , National Research Tomsk Polytechnic University (Tomsk, Russia)
Le-Zha H. H. , National Research Tomsk Polytechnic University (Tomsk, Russia)

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