In order to ensure battery management system (BMS) operating safely and reliably, it is of
critical importance to accurately identify lithium-ion battery model parameters. A recursive …

Recursive least square (RLS) algorithms are considered as a kind of accurate parameter
identification method for lithium-ion batteries. However, traditional RLS algorithms usually …

With the popularity of electric vehicles, lithium-ion batteries as a power source are an
important part of electric vehicles, and online identification of equivalent circuit model …

For model-based state of charge (SOC) estimation methods, the battery model parameters
change with temperature, SOC, and so forth, causing the estimation error to increase …

The model parameters of the lithium-ion battery are of great importance to model-based
battery state estimation methods. The fact that parameters change in different rates with …

In order to solve the problem that forgetting factor recursive least squares (FFRLS) is prone
to abnormal jitter and even divergence under complex working conditions, improved …

State of charge (SOC) estimation is the core of any battery management system. Most closed-
loop SOC estimation algorithms are based on the equivalent circuit model with fixed …

Online parameter identification is vital for boosting the accuracy of the battery equivalent
circuit model (ECM) under dynamic profiles. However, traditional recursive least squares …

Accurate parameter identification of a lithium‐ion battery is a critical basis in the battery
management systems. Based on the analysis of the second‐order RC equivalent circuit …

To monitor and predict battery states, a battery model with accurate model parameters is
important to battery management systems (BMS). However, for multi-timescale dynamic …