[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries
As widely used for secondary energy storage, lithium-ion batteries have become the core
component of the power supply system and accurate remaining useful life prediction is the …
component of the power supply system and accurate remaining useful life prediction is the …
Thermal Stability and Outgassing Behaviors of High‐nickel Cathodes in Lithium‐ion Batteries
LiNiO2‐based high‐nickel layered oxide cathodes are regarded as promising cathode
materials for high‐energy‐density automotive lithium batteries. Most of the attention thus far …
materials for high‐energy‐density automotive lithium batteries. Most of the attention thus far …
An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current …
The whole-life-cycle state of charge (SOC) prediction plays a significant role in various
applications of lithium-ion batteries, but with great difficulties due to their internal capacity …
applications of lithium-ion batteries, but with great difficulties due to their internal capacity …
Review of fast charging strategies for lithium-ion battery systems and their applicability for battery electric vehicles
Despite fast technological advances, world-wide adaption of battery electric vehicles (BEVs)
is still hampered—mainly by limited driving ranges and high charging times. Reducing the …
is still hampered—mainly by limited driving ranges and high charging times. Reducing the …
A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries
Lithium-ion batteries are widely used as effective energy storage and have become the main
component of power supply systems. Accurate battery state prediction is key to ensuring …
component of power supply systems. Accurate battery state prediction is key to ensuring …
Intelligent state of health estimation for lithium-ion battery pack based on big data analysis
State of health (SOH) of in-vehicle lithium-ion batteries not only directly determines the
acceleration performance and driving range of electric vehicles (EVs), but also reflects the …
acceleration performance and driving range of electric vehicles (EVs), but also reflects the …
Optimizing electric bus charging infrastructure considering power matching and seasonality
In this research, a novel optimization model for electric bus charging station location,
charger configuration, charging time and vehicle flow is developed considering power …
charger configuration, charging time and vehicle flow is developed considering power …
A rapid lithium-ion battery heating method based on bidirectional pulsed current: Heating effect and impact on battery life
Low temperature charging is a major challenge for lithium-ion batteries, since it could lead to
dramatic performance degradation and potential safety issues. A pre-heating process is …
dramatic performance degradation and potential safety issues. A pre-heating process is …
Optimal design of a hybrid energy storage system in a plug-in hybrid electric vehicle for battery lifetime improvement
This paper proposes a multi-dimensional size optimization framework and a hierarchical
energy management strategy (HEMS) to optimize the component size and the power of a …
energy management strategy (HEMS) to optimize the component size and the power of a …
Wireless energy: Paving the way for smart cities and a greener future
The significance of energy stability in urban development has increased as the use of
intelligent devices continues to expand and extreme weather poses a threat to the integrity …
intelligent devices continues to expand and extreme weather poses a threat to the integrity …