Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

S Yang, C Zhang, J Jiang, W Zhang, L Zhang… - Journal of Cleaner …, 2021 - Elsevier
Abstract State-of-health (SOH) monitoring of lithium-ion batteries plays a key role in the
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …

Remaining life prediction of lithium-ion batteries based on health management: A review

K Song, D Hu, Y Tong, X Yue - Journal of Energy Storage, 2023 - Elsevier
Lithium-ion battery remaining useful life (RUL) is an essential technology for battery
management, safety assurance and predictive maintenance, which has attracted the …

A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries

B Jiang, J Zhu, X Wang, X Wei, W Shang, H Dai - Applied Energy, 2022 - Elsevier
Battery state of health (SOH) estimation is a critical but challenging demand in advanced
battery management technologies. As an essential parameter, battery impedance contains …

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 …

State of charge estimation of lithium-ion battery for electric vehicles using machine learning algorithms

V Chandran, CK Patil, A Karthick… - World Electric Vehicle …, 2021 - mdpi.com
The durability and reliability of battery management systems in electric vehicles to forecast
the state of charge (SoC) is a tedious task. As the process of battery degradation is usually …

Remaining useful life prediction for lithium-ion battery: A deep learning approach

L Ren, L Zhao, S Hong, S Zhao, H Wang… - Ieee Access, 2018 - ieeexplore.ieee.org
Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly
crucial role in the intelligent battery health management systems. The advances in deep …

A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction

P Guo, Z Cheng, L Yang - Journal of power sources, 2019 - Elsevier
Capacity degradation monitoring of lithium batteries is necessary to ensure the reliability
and safety of electric vehicles. However, capacity of cell is related to its complex internal …

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

MA Patil, P Tagade, KS Hariharan, SM Kolake, T Song… - Applied energy, 2015 - Elsevier
Real-time prediction of remaining useful life (RUL) is an essential feature of a robust battery
management system (BMS). In this work, a novel method for real-time RUL estimation of Li …

On the feature selection for battery state of health estimation based on charging–discharging profiles

Y Li, DI Stroe, Y Cheng, H Sheng, X Sui… - Journal of Energy …, 2021 - Elsevier
Correctly evaluating the health status of the battery is of great significance for ensuring the
safety of electric vehicles, and avoiding potential failures of electric vehicles. Recently, the …

Adaptive state of health estimation for lithium-ion batteries using impedance-based timescale information and ensemble learning

Y Zhu, B Jiang, J Zhu, X Wang, R Wang, X Wei, H Dai - Energy, 2023 - Elsevier
Accurate state of health (SOH) estimation is vital to ensure safe, reliable, and efficient
operation of lithium-ion batteries. Timescale information on internal kinetic processes is …