Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

Thermal runaway of lithium-ion batteries (LIBs) remains a major concern in their large-scale
applications. It has been a hot topic to understand the thermal runaway (TR) behavior of …

With the background of China's carbon peak, the low-carbon and sustainable development
of the coal industry is vital to China's national energy security. Because the underground …

Accurate estimating the state of charge (SOC) can improve battery reliability, safety, and
extend battery service life. The existing battery models used for SOC estimation …

With the demand for high-endurance lithium-ion batteries in new energy vehicles,
communication and portable devices, high energy density lithium-ion batteries have become …

Accurate state-of-charge (SOC) estimation of lithium-ion battery is directly related to the
reliability, performance, and safety of the battery. In this work, the second order resistor …

Accurate state of charge (SOC) estimation helps achieve efficient battery management,
which is essential for transportation electrification. Significantly different from existing data …

Estimating the state of charge (SOC) of batteries is fundamental for the proper management
and safe operation of numerous systems, including electric vehicles, smart energy grids, and …

Lithium-ion batteries are acted as energy storage devices and widely used in many fields,
such as mobile, electric vehicles, and renewable energy sources, etc. However, their …

The estimation of state of charge (SOC) using deep neural networks (DNN) generally
requires a considerable number of labelled samples for training, which refer to the current …