Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
Z Ren, C Du - Energy Reports, 2023 - Elsevier
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
Sensing as the key to the safety and sustainability of new energy storage devices
New energy storage devices such as batteries and supercapacitors are widely used in
various fields because of their irreplaceable excellent characteristics. Because there are …
various fields because of their irreplaceable excellent characteristics. Because there are …
Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries
Safety assurance is essential for lithium-ion batteries in power supply fields, and the
remaining useful life (RUL) prediction serves as one of the fundamental criteria for the …
remaining useful life (RUL) prediction serves as one of the fundamental criteria for the …
Towards long lifetime battery: AI-based manufacturing and management
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …
only contribute to decarbonization such as transportation electrification, smart grid, but also …
A review of early warning methods of thermal runaway of lithium ion batteries
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 …
advantages of high specific energy, long service life and so on. However, thermal runaway …
Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement
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 …
renewable penetration, electrified transportation, and portable electronics. A reliable battery …
Smart batteries enabled by implanted flexible sensors
Y Lu, X Wang, S Mao, D Wang, D Sun, Y Sun… - Energy & …, 2023 - pubs.rsc.org
Growing demand for high energy storage density is driving lithium-ion batteries (LIBs) to
increasingly large design sizes, and the enhancement of battery charging and discharging …
increasingly large design sizes, and the enhancement of battery charging and discharging …
[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …
applications. The current motivation to improve the robustness of lithium-ion battery …
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 …
Embedded distributed temperature sensing enabled multistate joint observation of smart lithium-ion battery
Accurate monitoring of the internal statuses is highly valuable for the management of the
lithium-ion battery (LIB). This article proposes a thermal-model-based method for multistate …
lithium-ion battery (LIB). This article proposes a thermal-model-based method for multistate …