This article proposes an information analysis-based multiple adaptive forgetting factors (FFs)
recursive least squares (IA-MAFF-RLS) method to identify model parameters of lithium-ion …

Data-driven methods have been widely used to estimate the State of health (SOH) of Lithium-
Ion batteries (LIBs). However, these methods lack interpretability. In response to this issue …

Electrochemical impedance spectroscopy (EIS) has been concerned increasingly due to its
relationship with inner states of batteries, which has underlying possibility to be deployed in …

The electrochemical models (EMs) have gained increasing attention for their ability to reflect
the internal states of the lithium-ion battery, yet the parameter identification is still an …

Electrochemical impedance spectroscopy (EIS) is a non-invasive characterization method
widely researched in lithium-ion battery evaluation and broadband impedance is battery EIS …

Fast impedance measurement with well-constructed excitation signals is crucial for battery
internal states analysis and faults diagnosis. The pseudo-random binary sequence (PRBS) …

Considering the promising prospects of retired power batteries in second-life utilization, it
becomes imperative to enhance their consistency through a reasonable sorting procedure …

Battery impedance online identification is a nondestructive measurement technique for
battery condition estimation and health diagnosis. However, conventional methods are …

Lithium-ion batteries are commonly employed in electric vehicles due to their efficient
energy storage and conversion capabilities. Nevertheless, to ensure reliable and cost …

Investigating the correlation between aging mechanisms and state of charge (SOC) can
optimize cycling conditions and prolong the lifecycle of Lithium-ion batteries (LIBs). A long …