[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

Z Wang, G Feng, D Zhen, F Gu, A Ball - Energy Reports, 2021 - Elsevier
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …

[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

X Sui, S He, SB Vilsen, J Meng, R Teodorescu, DI Stroe - Applied Energy, 2021 - Elsevier
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …

Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis

H Meng, M Geng, T Han - Reliability Engineering & System Safety, 2023 - Elsevier
Prognostics and health management (PHM) are developed to accurately estimate the state
of health (SOH) of lithium-ion batteries, which are crucial parts for planning the employment …

SOH prediction of lithium battery based on IC curve feature and BP neural network

J Wen, X Chen, X Li, Y Li - Energy, 2022 - Elsevier
Precise battery SOH (state of health) prediction and monitoring are of extreme importance
for the future intelligent battery management system (BMS). In this paper, battery discharge …

A review of the state of health for lithium-ion batteries: Research status and suggestions

H Tian, P Qin, K Li, Z Zhao - Journal of Cleaner Production, 2020 - Elsevier
Lithium-ion batteries (LIBs) have become the mainstream power source for battery electric
vehicles (BEVs) with relatively superior performance. However, LIBs experience battery …

State estimation for advanced battery management: Key challenges and future trends

X Hu, F Feng, K Liu, L Zhang, J Xie, B Liu - Renewable and Sustainable …, 2019 - Elsevier
Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable
energy storage. These indispensable engineering applications are all safety-critical and …

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 …

A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model

X Gu, KW See, P Li, K Shan, Y Wang, L Zhao, KC Lim… - Energy, 2023 - Elsevier
Abstract State-of-health (SOH) estimation of lithium-ion batteries is crucial for ensuring the
reliability and safety of battery operation while keeping maintenance and service costs down …

[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 …

A novel deep learning framework for state of health estimation of lithium-ion battery

Y Fan, F Xiao, C Li, G Yang, X Tang - Journal of Energy Storage, 2020 - Elsevier
The state-of-health (SOH) estimation is a challenging task for lithium-ion battery, which
contribute significantly to maximize the performance of battery-powered systems and guide …