[HTML][HTML] A review on the fault and defect diagnosis of lithium-ion battery for electric vehicles

B Zou, L Zhang, X Xue, R Tan, P Jiang, B Ma, Z Song… - Energies, 2023 - mdpi.com
The battery system, as the core energy storage device of new energy vehicles, faces
increasing safety issues and threats. An accurate and robust fault diagnosis technique is …

[HTML][HTML] Battery state of health estimate strategies: from data analysis to end-cloud collaborative framework

K Yang, L Zhang, Z Zhang, H Yu, W Wang, M Ouyang… - Batteries, 2023 - mdpi.com
Lithium-ion batteries have become the primary electrical energy storage device in
commercial and industrial applications due to their high energy/power density, high …

State of charge estimation method by using a simplified electrochemical model in deep learning framework for lithium-ion batteries

H Yu, L Zhang, W Wang, S Li, S Chen, S Yang, J Li… - Energy, 2023 - Elsevier
To ensure the secure and healthy usage of lithium-ion batteries, it is necessary to accurately
estimate the state of charge (SOC) in battery management systems. The development of …

End-cloud collaboration method enables accurate state of health and remaining useful life online estimation in lithium-ion batteries

B Ma, L Zhang, H Yu, B Zou, W Wang, C Zhang… - Journal of Energy …, 2023 - Elsevier
Though the lithium-ion battery is universally applied, the reliability of lithium-ion batteries
remains a challenge due to various physicochemical reactions, electrode material …

Electric vehicle lifecycle carbon emission reduction: A review

Z Gao, H Xie, X Yang, L Zhang, H Yu… - Carbon …, 2023 - Wiley Online Library
Under the global carbon neutrality initiative, carbon emissions from the transportation sector
are becoming increasingly prominent due to the growth in vehicle ownership. And electric …

SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction

Z Gao, H Xie, X Yang, W Wang, Y Liu, Y Xu, B Ma… - Journal of Energy …, 2024 - Elsevier
The burgeoning growth of green energy in the transportation sector has resulted in
increased expectations for battery longevity and safety. However, the capacity of lithium-ion …

Multi-output ensemble deep learning: A framework for simultaneous prediction of multiple electrode material properties

H Yu, K Yang, L Zhang, W Wang, M Ouyang… - Chemical Engineering …, 2023 - Elsevier
The development of new electrode materials plays an important role in enhancing the
performance of batteries. Machine learning can provide powerful support for discovering …

[HTML][HTML] Lithium-ion battery state of health estimation with multi-feature collaborative analysis and deep learning method

X Yang, B Ma, H Xie, W Wang, B Zou, F Liang, X Hua… - Batteries, 2023 - mdpi.com
The accurate estimation of the battery state of health (SOH) is crucial for the dependability
and safety of battery management systems (BMS). The generality of existing SOH estimation …

Computational materials discovery and development for Li and non-Li advanced battery chemistries

H Sharma, A Nazir, A Kasbe, P Kekarjawlekar… - Journal of …, 2023 - hrcak.srce.hr
Sažetak Since the discovery of batteries in the 1800s, their fascinating physical and
chemical properties have led to much research on their synthesis and manufacturing …

Multiscale modeling for enhanced battery health analysis: Pathways to longevity

K Yang, L Zhang, W Wang, C Long, S Yang… - Carbon …, 2024 - Wiley Online Library
The issues of health assessment and lifespan prediction have always been prominent
challenges in the large‐scale application of lithium‐ion batteries (LIBs). This paper reviews …