LiFePO 4 batteries are widely used in electric vehicles and energy storage due to their high
safety. However, their flat voltage characteristics in the middle state of charge (SOC) range …

The state of charge (SOC) of lithium-ion batteries (LIBs) is regarded as the fundamental
parameter of the battery management system (BMS). In this paper, a parameter optimization …

This paper mainly studies the state of charge (SOC) estimation of lithium batteries based on
a fractional-order adaptive square-root cubature Kalman filter (FO-ASRCKF). Firstly, a …

Due to the complexity of industrial energy systems such as the thermal power plants,
renewable plants and batteries, energy system monitoring is gaining more and more …

To ensure the battery management system (BMS) operates effectively, it is quite important to
accurately determine the model parameters of the equivalent circuit model (ECM) and the …

In this study, a battery test platform is built to study and analyze the battery model. A
fractional-order model (FOM) of battery is developed by combining the second-order …

As a crucial parameter in the battery management system, the accuracy estimation of state-
of-charge (SoC) significantly affects the safe operation of batteries system. To ameliorate the …

Accurate state of charge estimation is crucial for the safe and efficient operation of lithium-
ion batteries. The Kalman filtering algorithm has been widely used in state-of-charge (SOC) …

Accurate state of temperature estimation for lithium-ion batteries is essential to ensure its
safe and efficient operations. In this study, a state of temperature estimation framework for …

The state of charge estimation of lithium-ion batteries in electric vehicles is critical in battery
management systems. Using a single model and algorithm for state of charge estimation has …