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 …

[HTML][HTML] Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects

K Liu, Q Peng, Y Che, Y Zheng, K Li… - Advances in Applied …, 2023 - Elsevier
With the advent of sustainable and clean energy transitions, lithium-ion batteries have
become one of the most important energy storage sources for many applications. Battery …

[HTML][HTML] Deep learning to estimate lithium-ion battery state of health without additional degradation experiments

J Lu, R Xiong, J Tian, C Wang, F Sun - Nature Communications, 2023 - nature.com
State of health is a critical state which evaluates the degradation level of batteries. However,
it cannot be measured directly but requires estimation. While accurate state of health …

[HTML][HTML] Two-stage aging trajectory prediction of LFP lithium-ion battery based on transfer learning with the cycle life prediction

Z Zhou, Y Liu, M You, R Xiong, X Zhou - Green Energy and Intelligent …, 2022 - Elsevier
With the wide application of the LFP lithium-ion batteries, more attention is paid to the battery
life and future aging behaviors as the safety and performance of the battery are guaranteed …

[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 …

[PDF][PDF] State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

X Shu, S Shen, J Shen, Y Zhang, G Li, Z Chen, Y Liu - Iscience, 2021 - cell.com
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …

Estimation of the state of health (SOH) of batteries using discrete curvature feature extraction

HH Goh, Z Lan, D Zhang, W Dai, TA Kurniawan… - Journal of Energy …, 2022 - Elsevier
Lithium battery applications in a variety of engineering sectors must be safe and reliable
while maintaining a high level of energy efficiency. An accurate assessment of the battery's …

[HTML][HTML] A review on various optical fibre sensing methods for batteries

G Han, J Yan, Z Guo, D Greenwood, J Marco… - … and Sustainable Energy …, 2021 - Elsevier
Batteries have rapidly evolved and are widely applied in both stationary and transport
applications. The safe and reliable operation is of vital importance to all types of batteries …

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 …

An overview of data-driven battery health estimation technology for battery management system

M Chen, G Ma, W Liu, N Zeng, X Luo - Neurocomputing, 2023 - Elsevier
Battery degradation, caused by multiple coupled degradation mechanisms, severely affects
the safety and sustainability of a battery management system (BMS). The battery state of …