[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries

Z Ren, C Du - Energy Reports, 2023 - Elsevier
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …

A review on second-life of Li-ion batteries: Prospects, challenges, and issues

M Shahjalal, PK Roy, T Shams, A Fly, JI Chowdhury… - Energy, 2022 - Elsevier
High energy density has made Li-ion battery become a reliable energy storage technology
for transport-grid applications. Safely disposing batteries that below 80% of their nominal …

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review

A Manoharan, KM Begam, VR Aparow… - Journal of Energy …, 2022 - Elsevier
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …

Summary of health-state estimation of lithium-ion batteries based on electrochemical impedance spectroscopy

X Sun, Y Zhang, Y Zhang, L Wang, K Wang - Energies, 2023 - mdpi.com
With the increasing application of lithium-ion batteries, accurate estimation of the state of
health (SOH) of lithium-ion batteries is of great significance for the safe operation of lithium …

Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review

S Khaleghi, MS Hosen, J Van Mierlo… - … and Sustainable Energy …, 2024 - Elsevier
Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …

SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture

X Fan, W Zhang, C Zhang, A Chen, F An - Energy, 2022 - Elsevier
Abstract State-of-charge (SOC) is critical to the safe operation and energy management of
electric vehicles. Data-driven SOC estimation algorithms all require a period of data to …

State of health estimation of lithium-ion battery with improved radial basis function neural network

J Wu, L Fang, G Dong, M Lin - Energy, 2023 - Elsevier
Accurate state of health (SOH) estimation for lithium-ion batteries is crucial to ensure the
safety and reliability of electric vehicles. However, traditional neural network algorithms to …

Advancements in Artificial Neural Networks for health management of energy storage lithium-ion batteries: A comprehensive review

Y Zou, Z Lin, D Li, ZC Liu - Journal of Energy Storage, 2023 - Elsevier
Lithium-ion batteries, growing in prominence within energy storage systems, necessitate
rigorous health status management. Artificial Neural Networks, adept at deciphering …

Develo** an online data-driven approach for prognostics and health management of lithium-ion batteries

S Khaleghi, MS Hosen, D Karimi, H Behi, SH Beheshti… - Applied Energy, 2022 - Elsevier
Lithium-ion batteries have achieved dominance in energy storage systems. Meanwhile,
there is a demand for the reliability of lithium-ion batteries. Battery prognostics and health …

Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles

R Li, J Hong, H Zhang, X Chen - Energy, 2022 - Elsevier
State of health (SOH) estimation is critical to the safety of battery systems in real-world
electric vehicles. Accurate battery health status is difficult to be measured during dynamic …