Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Lithium-ion battery aging mechanism analysis and health prognostics are of great
significance for a smart battery management system to ensure safe and optimal use of the …
significance for a smart battery management system to ensure safe and optimal use of the …
Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives
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 …
batteries. The deep learning technique, a game changer in many fields, has recently …
Flexible battery state of health and state of charge estimation using partial charging data and deep learning
Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …
intelligent battery management systems. This study proposes a flexible method using only …
Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning
Accurate estimation of state of charge (SOC) constitutes the basis to enable the reliable
operations of lithium-ion batteries. The recent development in deep learning provides an …
operations of lithium-ion batteries. The recent development in deep learning provides an …
A review of second-life lithium-ion batteries for stationary energy storage applications
The large-scale retirement of electric vehicle traction batteries poses a huge challenge to
environmental protection and resource recovery since the batteries are usually replaced …
environmental protection and resource recovery since the batteries are usually replaced …
An adaptive capacity estimation approach for lithium-ion battery using 10-min relaxation voltage within high state of charge range
Capacity estimation is essential for battery health management during the whole lifecycle.
The data-driven technique has shown advanced performance in battery capacity estimation …
The data-driven technique has shown advanced performance in battery capacity estimation …
State estimation models of lithium-ion batteries for battery management system: status, challenges, and future trends
The state estimation technology of lithium-ion batteries is one of the core functions elements
of the battery management system (BMS), and it is an academic hotspot related to the …
of the battery management system (BMS), and it is an academic hotspot related to the …
A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application
To deal with the indeterminacy of the renewable energy in power system, electrochemical
energy storage system is a promising solution for improving the flexibility of grid. As lithium …
energy storage system is a promising solution for improving the flexibility of grid. As lithium …
[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 …
Machine learning-based fast charging of lithium-ion battery by perceiving and regulating internal microscopic states
Fast charging of the lithium-ion battery (LIB) is an enabling technology for the popularity of
electric vehicles. However, high-rate charging regardless of the physical limits can induce …
electric vehicles. However, high-rate charging regardless of the physical limits can induce …