High‐energy lithium‐ion batteries: recent progress and a promising future in applications

J Xu, X Cai, S Cai, Y Shao, C Hu, S Lu… - Energy & …, 2023 - Wiley Online Library
It is of great significance to develop clean and new energy sources with high‐efficient
energy storage technologies, due to the excessive use of fossil energy that has caused …

A state-of-the art review on advancing battery thermal management systems for fast-charging

AK Thakur, R Sathyamurthy, R Velraj, R Saidur… - Applied Thermal …, 2023 - Elsevier
Electric vehicles (EVs) can significantly reduce pollution and dependence on fossil fuels by
taking the place of conventional gasoline-powered vehicles. Owing to the higher sensitivity …

Overcoming the challenges of integrating variable renewable energy to the grid: A comprehensive review of electrochemical battery storage systems

L Deguenon, D Yamegueu, A Gomna - Journal of Power Sources, 2023 - Elsevier
The increasing penetration of intermittent renewable energy sources such as solar and wind
is creating new challenges for the stability and reliability of power systems. Electrochemical …

State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network

J Gao, D Yang, S Wang, Z Li, L Wang, K Wang - Journal of Energy Storage, 2023 - Elsevier
Accurate state of health (SOH) estimation is essential for designing a safe and reliable
battery management systems (BMS). Although data-driven methods have achieved great …

Battery prognostics and health management from a machine learning perspective

J Zhao, X Feng, Q Pang, J Wang, Y Lian… - Journal of Power …, 2023 - Elsevier
Transportation electrification is gaining prominence as a significant pathway for reducing
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …

Battery lifetime prognostics

X Hu, L Xu, X Lin, M Pecht - Joule, 2020 - cell.com
Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

Data-driven prediction of battery cycle life before capacity degradation

KA Severson, PM Attia, N **, N Perkins, B Jiang… - Nature Energy, 2019 - nature.com
Accurately predicting the lifetime of complex, nonlinear systems such as lithium-ion batteries
is critical for accelerating technology development. However, diverse aging mechanisms …

Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries

K Liu, Y Gao, C Zhu, K Li, M Fei, C Peng… - Control Engineering …, 2022 - Elsevier
Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …

A machine-learning prediction method of lithium-ion battery life based on charge process for different applications

Y Yang - Applied Energy, 2021 - Elsevier
For accelerating the technology development and facilitating the reliable operation of lithium-
ion batteries, accurate prediction for battery cycle life and remaining useful life (RUL) are …

Best practices for incremental capacity analysis

M Dubarry, D Anseán - Frontiers in Energy Research, 2022 - frontiersin.org
This publication will present best practices for incremental capacity analysis, a technique
whose popularity is growing year by year because of its ability to identify battery degradation …