Innovative method to precise SOC estimation for lithium-ion batteries under diverse temperature and current conditions DOI
Abdelhakim Tabine, El Mehdi Laadissi,

Anass Elachhab

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 96, P. 1299 - 1309

Published: Dec. 1, 2024

Language: Английский

A comparative study on State-of-Charge estimation for Lithium-rich manganese-based battery based on Bayesian filtering and machine learning methods DOI
Chengzhong Zhang, Hongyu Zhao, Liye Wang

et al.

Energy, Journal Year: 2024, Volume and Issue: 306, P. 132349 - 132349

Published: July 20, 2024

Language: Английский

Citations

5
Design of a novel robust UIO estimator with predefined convergence time for the state of charge estimation for lithium-ion batteries DOI
Xinzhi Chen, Kun Wang

International Journal of Dynamics and Control, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0
Enhanced state of charge estimation in lithium-ion batteries based on Time-Frequency-Net with time-domain and frequency-domain features DOI
X. Wang, Yingmin Yi, Y.F. Yuan

et al.

Energy, Journal Year: 2025, Volume and Issue: 318, P. 134722 - 134722

Published: Feb. 3, 2025

Language: Английский

Citations

0
Accurate SOC estimation in power lithium-ion batteries using adaptive extended Kalman filter with a high-order electrical equivalent circuit model DOI
Islam Md Monirul,

Li Qiu,

Rukhsana Ruby

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117081 - 117081

Published: Feb. 1, 2025

Language: Английский

Citations

0
Comprehensive Review of Lithium-Ion Battery State of Charge Estimation by Sliding Mode Observers DOI Creative Commons
Vahid Behnamgol,

Mohammad Asadi,

Mohamed A. A. Mohamed

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5754 - 5754

Published: Nov. 18, 2024

The state of charge (SoC) is a critical parameter in lithium-ion batteries and their alternatives. It determines the battery’s remaining energy capacity influences its performance longevity. Accurate SoC estimation essential for making informed charging discharging decisions, mitigating risks overcharging or deep discharge, ensuring safety. Battery management systems rely on estimation, utilising both hardware software components to maintain safe efficient battery operation. Existing methods are broadly classified into direct indirect approaches. Direct (e.g., Coulumb counting) current measurements. In contrast, (often based filter observer) utilise model incorporate voltage measurements besides current. While latter more accurate, it faces challenges related sensor drift, computational complexity, inaccuracies. need precise robust without increasing complexity critical, particularly real-time applications. Recently, sliding mode observers (SMOs) have gained prominence this field robustness against uncertainties external disturbances, offering fast convergence superior accuracy. Due increased interest, review focuses various SMO approaches including first-order, adaptive, high-order, terminal, fractional-order, advanced SMOs, along with hybrid integrating intelligent techniques. By evaluating these methodologies, strengths, weaknesses, modelling frameworks literature, paper highlights ongoing future directions research. Unlike common papers, work also compares existing via comprehensive simulation study MATLAB 2024b quantify difference guide users selecting suitable version

Language: Английский

Citations

3
Innovative method to precise SOC estimation for lithium-ion batteries under diverse temperature and current conditions DOI
Abdelhakim Tabine, El Mehdi Laadissi,

Anass Elachhab

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 96, P. 1299 - 1309

Published: Dec. 1, 2024

Language: Английский

Citations

2