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 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 …

Battery energy storage systems are becoming an integral part of the modern power grid,
mainly to maximise the utilisation of renewable energy sources and negate the intermittence …

Accurate state of charge (SOC) estimation of lithium-ion batteries by the battery
management system (BMS) plays a prominent role in ensuring their reliability, safe …

Accurately estimating the state of charge (SOC) of lithium-ion batteries by the battery
management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper …

Due to their high energy density and minimal emissions, lithium-ion batteries are frequently
employed in electric vehicles (EVs). Accurate estimation of the micro-parameters, state of …

The state of energy (SOE) estimation of lithium-ion batteries is the basis of the mileage
prediction of electric vehicles. However, its accurate estimation is affected by various factors …

Due to the high nonlinearities and unstable working conditions, accurately estimating the
state of charge (SOC) by the battery management system (BMS) is a major challenge in …

To eliminate the impact of inaccurate initial parameter value on the parameter identification
results of lithium-ion battery (LIB) model, a method for parameter identification of LIB …

Building an accurate battery model and realizing a high-precision state of charge (SOC)
estimation is the key to ensuring the safe and efficient operation of electric vehicles. In this …