With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …

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 …

The state of charge (SOC) estimation of lithium-ion battery (LIB) based on recurrent neural
network (RNN) has been a popular research due to its suitability for time series data …

State of charge (SOC) and state of energy (SOE) are two crucial battery states which
correspond to available capacity in Ah and available energy in Wh, respectively. Both of …

State of charge (SOC) is a key state in the battery management system (BMS). For a second-
order equivalent circuit model (ECM), a hierarchical adaptive extended Kalman filter …

Early prediction of battery remaining useful life (RUL) is critical to ensure a steady energy
supply and the effective usage of energy. To reduce the amount of degradation data …

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 …

The traditional energy management strategies (EMSs) for fuel cell/battery hybrid vehicle
systems frequently neglect the degradation issues of power sources. The health-conscious …

Equivalent circuit models of lithium-ion batteries are the foundation of accurately estimating
state of charge (SOC) and state of health (SOH). To further describe the performance of the …

For lithium-ion batteries, the state of charge (SOC) estimation is one of the most important
tasks, and accurate estimation of SOC can provide a guarantee for the continuous operation …