A review of battery state of charge estimation and management systems: Models and future prospective

HM Hussein, A Aghmadi… - Wiley …, 2024 - Wiley Online Library
Batteries are considered critical elements in most applications nowadays due to their power
and energy density features. However, uncontrolled charging and discharging will …

Estimation of state-of-charge and state-of-health for lithium-ion battery based on improved firefly optimized particle filter

T Ouyang, J Ye, P Xu, C Wang, E Xu - Journal of Energy Storage, 2023 - Elsevier
Accurate estimation of state-of-charge and state-of-health is extremely important for the
lithium-ion batteries used in electric vehicles. First, this article proposes an online parameter …

A novel fuzzy‐extended Kalman filter‐ampere‐hour (F‐EKF‐Ah) algorithm based on improved second‐order PNGV model to estimate state of charge of lithium‐ion …

D Liu, S Wang, Y Fan, L Xia… - International Journal of …, 2022 - Wiley Online Library
Aiming at the problem that it is difficult to accurately estimate the state of charge (SOC) of
lithium‐ion batteries in the strongly nonlinear interval, a novel algorithm based on a fuzzy …

[HTML][HTML] Data-Driven Approaches for State-of-Charge Estimation in Battery Electric Vehicles Using Machine and Deep Learning Techniques

EI El-Sayed, SK ElSayed, M Alsharef - Sustainability, 2024 - mdpi.com
One of the most important functions of the battery management system (BMS) in battery
electric vehicle (BEV) applications is to estimate the state of charge (SOC). In this study …

Battery management system to estimate battery aging using deep learning and machine learning algorithms

S Harippriya, EE Vigneswaran… - Journal of Physics …, 2022 - iopscience.iop.org
One of the greatest challenges faced by Electric Vehicle (EV) manufactures is insufficient
charging stations. Estimating the aging of the battery in the electric vehicle helps the driver to …

Adaptive state of charge estimation for lithium‐ion batteries using feedback‐based extended Kalman filter

IM Monirul, L Qiu, R Ruby, J Yu - IET Control Theory & …, 2023 - Wiley Online Library
The battery management system (BMS) is a crucial component of electric vehicles (EVs)
owing to its sustainable operation. To ensure optimal performance of the BMS, state of …

State of charge estimation for lithium-ion battery based on whale optimization algorithm and multi-kernel relevance vector machine

K Chen, S Zhou, K Liu, G Gao, G Wu - The Journal of Chemical …, 2023 - pubs.aip.org
Lithium–ion batteries are key elements of electric vehicles and energy storage systems, and
their accurate State of Charge (SOC) estimation is momentous for battery energy …

Research on the state of charge of lithium-ion battery based on the fractional order model

L Su, G Zhou, D Hu, Y Liu, Y Zhu - Energies, 2021 - mdpi.com
Accurate estimation of the state of charge (SOC) of lithium batteries is paramount to ensuring
consistent battery pack operation. To improve SOC estimation accuracy and suppress …

Cross-Stitch Networks for Joint State of Charge and State of Health Online Estimation of Lithium-Ion Batteries

J Yao, S Neupert, J Kowal - Batteries, 2024 - mdpi.com
As a superior solution to the developing demand for energy storage, lithium-ion batteries
play an important role in our daily lives. To ensure their safe and efficient usage, battery …

Modelling battery energy storage systems for active network management—coordinated control design and validation

C Parthasarathy, K Sirviö, H Hafezi… - IET Renewable …, 2021 - Wiley Online Library
Control of battery energy storage systems (BESS) for active network management (ANM)
should be done in coordinated way considering management of different BESS components …