Author
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Author 1
Rehan Ali Khan
Department of electrical Engineering, University of Science & Technology, Bannu (28100), Pakistan.
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IECE Contributions

Free Access | Research Article | 09 March 2025
A Novel Time-Variant State of Charge Estimation Based on an Extended Kalman Filtering Algorithm and Dynamic High-Order Modeling of Lithium-Ion Batteries
IECE Transactions on Power Electronics and Industrial Systems | Volume 1, Issue 1: 1-14, 2025 | DOI:10.62762/TPEIS.2024.125048
Abstract
Accurately determining the state of charge (SOC) is a critical factor in effective energy management for electric vehicles (EVs). Therefore, SOC variations in battery packs must be assessed with high precision. To simulate the complex processes within EVs that involve lithium-ion batteries (LIBs), an appropriate battery model is essential. Accurate parameter extraction through algorithmic methods is key to reliable SOC estimation. A dynamic, high-order equivalent circuit model, featuring two RC pairs in series with the battery's internal resistance, is employed to enhance parameter extraction. The values of the RC pairs are derived by solving equations that characterize the operational state... More >

Graphical Abstract
A Novel Time-Variant State of Charge Estimation Based on an Extended Kalman Filtering Algorithm and Dynamic High-Order Modeling of Lithium-Ion Batteries