Thermal behaviour and thermal runaway propagation in lithium-ion battery systems–A critical review
A large number of Lithium-ion battery packs are used for electromobility applications in
power electric vehicles. The battery cells are connected in series or in parallel depending …
power electric vehicles. The battery cells are connected in series or in parallel depending …
Artificial intelligence applied to battery research: hype or reality?
T Lombardo, M Duquesnoy, H El-Bouysidy… - Chemical …, 2021 - ACS Publications
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
Machine learning: an advanced platform for materials development and state prediction in lithium‐ion batteries
Lithium‐ion batteries (LIBs) are vital energy‐storage devices in modern society. However,
the performance and cost are still not satisfactory in terms of energy density, power density …
the performance and cost are still not satisfactory in terms of energy density, power density …
Concept review of a cloud-based smart battery management system for lithium-ion batteries: Feasibility, logistics, and functionality
Energy storage plays an important role in the adoption of renewable energy to help solve
climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy …
climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy …
Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives
Safety concerns are the main obstacle to large-scale application of lithium-ion batteries
(LIBs), and thus, improving the safety of LIBs is receiving global attention. Within battery …
(LIBs), and thus, improving the safety of LIBs is receiving global attention. Within battery …
Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review
Energy security, environmental concerns, and the upgrading of automobile industry are the
driving trifecta of the rapid development of electric vehicles (EVs). Lithium-ion batteries …
driving trifecta of the rapid development of electric vehicles (EVs). Lithium-ion batteries …
The application of data-driven methods and physics-based learning for improving battery safety
Enabling accurate prediction of battery failure will lead to safer battery systems, as well as
accelerating cell design and manufacturing processes for increased consistency and …
accelerating cell design and manufacturing processes for increased consistency and …
[HTML][HTML] Battery safety: Machine learning-based prognostics
Lithium-ion batteries play a pivotal role in a wide range of applications, from electronic
devices to large-scale electrified transportation systems and grid-scale energy storage …
devices to large-scale electrified transportation systems and grid-scale energy storage …
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
Machine learning-based data-driven fault detection/diagnosis of lithium-ion battery: A critical review
Fault detection/diagnosis has become a crucial function of the battery management system
(BMS) due to the increasing application of lithium-ion batteries (LIBs) in highly sophisticated …
(BMS) due to the increasing application of lithium-ion batteries (LIBs) in highly sophisticated …