A Comparative Analysis of Battery Performance Prediction Models

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Authors: Anna Vladova Stoynova, Georgy Slavchev Mihov, Nadezhda Miteva Kafadarova, Sotir Sotirov
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Abstract

Battery modeling is essential for understanding degradation mechanisms, tracking State of Health (SOH), and forecasting Remaining Useful Life (RUL).The article presents a systematic analysis of model classes based on criteria such as accuracy, data requirements, uncertainty, quantification, robustness, computation cost, and interpretability.Key features, limitations, and challenges are summarized for different classes of battery models.

Fields of Study & Subjects

Advanced Battery Technologies Research Advancements in Battery Materials Control Systems and Identification

Publication details

Journal / source
Engineering Sciences
Volume
LXII
Issue
4
Publication date
5 January 2026