Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement

Z Wei, J Zhao, H He, G Ding, H Cui, L Liu - Journal of Power Sources, 2021 - Elsevier
Lithium-ion batteries (LIBs) has seen widespread applications in a variety of fields like the
renewable penetration, electrified transportation, and portable electronics. A reliable battery …

[HTML][HTML] Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Y Zheng, Y Che, X Hu, X Sui, DI Stroe… - Progress in Energy and …, 2024 - Elsevier
Transportation electrification is a promising solution to meet the ever-rising energy demand
and realize sustainable development. Lithium-ion batteries, being the most predominant …

A review of early warning methods of thermal runaway of lithium ion batteries

D Kong, H Lv, P Ping, G Wang - Journal of Energy Storage, 2023 - Elsevier
Lithium-ion batteries (LIBs) are booming in the field of energy storage due to their
advantages of high specific energy, long service life and so on. However, thermal runaway …

Advanced fault diagnosis for lithium-ion battery systems: A review of fault mechanisms, fault features, and diagnosis procedures

X Hu, K Zhang, K Liu, X Lin, S Dey… - IEEE Industrial …, 2020 - ieeexplore.ieee.org
Lithium (Li)-ion batteries have become the mainstream energy storage solution for many
applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li …

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 …

An intelligent fault diagnosis method for lithium battery systems based on grid search support vector machine

L Yao, Z Fang, Y Xiao, J Hou, Z Fu - Energy, 2021 - Elsevier
For the safe operation of the electric vehicle, it is critical to quickly detect the safety state and
accurately identify the fault degree in battery packs. This article proposes a novel intelligent …

A review on various temperature-indication methods for Li-ion batteries

LHJ Raijmakers, DL Danilov, RA Eichel, PHL Notten - Applied energy, 2019 - Elsevier
Temperature measurements of Li-ion batteries are important for assisting Battery
Management Systems in controlling highly relevant states, such as State-of-Charge and …

A review of lithium-ion battery fault diagnostic algorithms: Current progress and future challenges

MK Tran, M Fowler - Algorithms, 2020 - mdpi.com
The usage of Lithium-ion (Li-ion) batteries has increased significantly in recent years due to
their long lifespan, high energy density, high power density, and environmental benefits …

Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods

Y Zhao, P Liu, Z Wang, L Zhang, J Hong - Applied Energy, 2017 - Elsevier
This paper presents a novel fault diagnosis method for battery systems in electric vehicles
based on big data statistical methods. According to machine learning algorithm and 3σ multi …

[HTML][HTML] Towards a safer lithium-ion batteries: A critical review on cause, characteristics, warning and disposal strategy for thermal runaway

Y Yang, R Wang, Z Shen, Q Yu, R Xiong… - Advances in Applied …, 2023 - Elsevier
Lithium-ion batteries have become the best choice for battery energy storage systems and
electric vehicles due to their excellent electrical performances and important contributions to …