A review on second-life of Li-ion batteries: Prospects, challenges, and issues

M Shahjalal, PK Roy, T Shams, A Fly, JI Chowdhury… - Energy, 2022 - Elsevier
High energy density has made Li-ion battery become a reliable energy storage technology
for transport-grid applications. Safely disposing batteries that below 80% of their nominal …

Research progress in fault detection of battery systems: A review

Y Shang, S Wang, N Tang, Y Fu, K Wang - Journal of Energy Storage, 2024 - Elsevier
Numerous explorations have been made with the goal of achieving “carbon neutrality.”
Among them, lithium-ion batteries are an effective and efficient way to achieve this goal …

A review of lithium-ion battery thermal runaway modeling and diagnosis approaches

MK Tran, A Mevawalla, A Aziz, S Panchal, Y Xie… - Processes, 2022 - mdpi.com
Lithium-ion (Li-ion) batteries have been utilized increasingly in recent years in various
applications, such as electric vehicles (EVs), electronics, and large energy storage systems …

Research on electric vehicle charging safety warning model based on back propagation neural network optimized by improved gray wolf algorithm

L Zhang, T Gao, G Cai, KL Hai - Journal of Energy Storage, 2022 - Elsevier
New energy vehicles have become a global transportation development trend in order to
achieve considerable fuel consumption and carbon emission reductions. However, as the …

Research progress of enhancing battery safety with phase change materials

M Chen, Y Yu, D Ouyang, J Weng, L Zhao… - … and Sustainable Energy …, 2024 - Elsevier
Lithium-ion batteries (LIBs) are frequently employed in electric vehicles for their high energy
density and lengthy cycle life. However, efficient battery thermal management system …

A data-driven method for battery charging capacity abnormality diagnosis in electric vehicle applications

Z Wang, C Song, L Zhang, Y Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Enabling charging capacity abnormality diagnosis is essential for ensuring battery operation
safety in electric vehicle (EV) applications. In this article, a data-driven method is proposed …

State estimation models of lithium-ion batteries for battery management system: status, challenges, and future trends

L Zhou, X Lai, B Li, Y Yao, M Yuan, J Weng, Y Zheng - Batteries, 2023 - mdpi.com
The state estimation technology of lithium-ion batteries is one of the core functions elements
of the battery management system (BMS), and it is an academic hotspot related to the …

[HTML][HTML] Fault diagnosis for lithium-ion batteries in electric vehicles based on signal decomposition and two-dimensional feature clustering

S Li, C Zhang, J Du, X Cong, L Zhang, Y Jiang… - Green Energy and …, 2022 - Elsevier
Battery fault diagnosis is essential for ensuring the reliability and safety of electric vehicles
(EVs). The existing battery fault diagnosis methods are difficult to detect faults at an early …

Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order model with multi-innovations unscented Kalman filter method

L Ma, Y Xu, H Zhang, F Yang, X Wang, C Li - Journal of Energy Storage, 2022 - Elsevier
Accurate state of charge (SOC) and state of health (SOH) estimation is very important to
ensure safe and efficient operation of electric vehicle battery system. In this study, an …

Quantitative diagnosis of micro-short circuit for lithium-ion batteries considering aging based on incremental capacity curve

L Liao, X Hu, H Chen, Z Wang, T Wu, J Jiang - Journal of Energy Storage, 2024 - Elsevier
Early diagnosis of internal short-circuit faults for preventing thermal runaway in lithium-ion
batteries stands as a pivotal task within battery management systems. With the continuous …