[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 …
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
Lithium-ion batteries have become the primary electrical energy storage device in
commercial and industrial applications due to their high energy/power density, high …
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
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 …
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
Though the lithium-ion battery is universally applied, the reliability of lithium-ion batteries
remains a challenge due to various physicochemical reactions, electrode material …
remains a challenge due to various physicochemical reactions, electrode material …
Electric vehicle lifecycle carbon emission reduction: A review
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 …
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
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 …
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
The development of new electrode materials plays an important role in enhancing the
performance of batteries. Machine learning can provide powerful support for discovering …
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 …
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
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 …
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 …
challenges in the large‐scale application of lithium‐ion batteries (LIBs). This paper reviews …