The present manuscript aims at raising awareness of the endless possibilities of fractional
calculus applied not only to system identification and control engineering, but also into …

Accurate modelling of lithium ion batteries is crucial for battery management in electric
vehicles. Recent studies have revealed the fractional order nature of lithium ion batteries …

Fractional order models have been successfully applied to estimate states and diagnose
faults for lithium ion batteries. However, their order has not been identified online, which …

Although fractional order based models and approaches have been proposed to determine
battery key state characteristics, the inflexible order has a detrimental impact on battery …

Accurate battery model and parameter identification are crucial for battery management.
Many modeling and parameter identification methods have recently been developed for …

State-of-charge (SOC) estimation is essential for the safe and effective utilization of lithium-
ion batteries. As the SOC cannot be directly measured by sensors, an accurate battery …

Accurate estimation of the state of charge (SOC) of Li‐ion battery can ensure the reliability of
the storage system. A combined estimator of online full‐parameter identification and …

The fractional-order extended Kalman filter (FEKF) algorithm for a nonlinear fractional-order
system perturbed by the colored noise is presented. Firstly, the first-order Taylor expansion …

In this paper, a method for states, parameters, and fractional order estimation is presented.
The proposed method is an extension of the traditional dual estimation method and uses …

With the widespread development of new energy, the study of power lithium-ion batteries
(LIBs) has broad prospects and great academic significance. The model and parameters are …