Exploring lithium-Ion battery degradation: A concise review of critical factors, impacts, data-driven degradation estimation techniques, and sustainable directions for …

T Rahman, T Alharbi - Batteries, 2024 - mdpi.com
Batteries play a crucial role in the domain of energy storage systems and electric vehicles by
enabling energy resilience, promoting renewable integration, and driving the advancement …

Expert deep learning techniques for remaining useful life prediction of diverse energy storage Systems: Recent Advances, execution Features, issues and future …

S Ansari, MAAM Zainuri, A Ayob, MSH Lipu… - Expert Systems with …, 2024 - Elsevier
A viable way to reduce carbon emissions and achieve sustainable development goals
(SDGs) is through reliable and sustainable transportation, specifically through the utilization …

State-of-health estimation method for fast-charging lithium-ion batteries based on stacking ensemble sparse Gaussian process regression

F Li, Y Min, Y Zhang, Y Zhang, H Zuo, F Bai - Reliability Engineering & …, 2024 - Elsevier
Gaussian process regression (GPR) is extensively employed in lithium-ion battery state-of-
health (SOH) estimation, which ensures the safe, reliable operation of electric vehicles …

State of health prediction of lithium-ion batteries under early partial data based on IWOA-BiLSTM with single feature

Y Ma, J Li, J Gao, H Chen - Energy, 2024 - Elsevier
The safe and stable operation of electric vehicles relies on fast and accurate predictions of
the state of health (SOH) of the battery. To address challenges such as limited availability of …

SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction

Z Gao, H **e, X Yang, W Wang, Y Liu, Y Xu, B Ma… - Journal of Energy …, 2024 - Elsevier
The burgeoning growth of green energy in the transportation sector has resulted in
increased expectations for battery longevity and safety. However, the capacity of lithium-ion …

Health prognostics of lithium-ion batteries based on universal voltage range features mining and adaptive multi-Gaussian process regression with Harris Hawks …

Y Guo, X Yu, Y Wang, K Huang - Reliability Engineering & System Safety, 2024 - Elsevier
In the field of battery prognostics and health management (PHM), accurate State-of-Health
(SOH) estimation is important for the safe and reliable operation of lithium-ion batteries …

Vehicle-cloud-collaborated prognosis and health management for lithium-ion batteries: framework, technics and perspective

Z Sida, G Zichao, D Honglei, Z **nan, Z Yifan… - Energy Storage …, 2024 - Elsevier
Lithium-ion batteries have become one of the mainstay industries worldwide especially for
electric vehicles, but they always suffer from failures, including the accelerating degradation …

A novel method for remaining useful life of solid-state lithium-ion battery based on improved CNN and health indicators derivation

Y Ma, Z Wang, J Gao, H Chen - Mechanical Systems and Signal …, 2024 - Elsevier
The remaining useful life (RUL) of solid-state lithium-ion battery (SSLIB) is a crucial
challenge for their future marketability due to the fact that it guarantees the safety and …

A hybrid battery degradation model combining arrhenius equation and neural network for capacity prediction under time-varying operating conditions

Z Chen, Z Wang, W Wu, T **a, E Pan - Reliability Engineering & System …, 2024 - Elsevier
Capacity degradation modeling and remaining useful life (RUL) prediction play a pivotal role
in enhancing the safety of battery energy storage systems. Lithium-ion batteries utilized in …

Battery reliability assessment in electric vehicles: a state-of-the-art

J Omakor, MS Miah, H Chaoui - IEEE Access, 2024 - ieeexplore.ieee.org
Lithium-ion (Li-ion) batteries are used in electric vehicles to reduce reliance on fossil fuels
because of their high energy density, design flexibility, and efficiency compared to other …