Abstract State-of-charge (SoC) estimation is of great importance for electric vehicles (EVs)
optimum operation, while highly dynamic operation environment makes this task extremely …

A battery management system (BMS) plays a crucial role to ensure the safety, efficiency, and
reliability of a rechargeable Li-ion battery pack. State of charge (SOC) estimation is an …

As the unscented Kalman filtering algorithm is sensitive to the battery model and susceptible
to the uncertain noise interference, an improved iterate calculation method is proposed to …

The estimation of remaining discharge energy (RDE) of lithium-ion batteries is the basis for
the remaining driving range estimation of electric vehicles. The RDE estimation is affected …

Lithium-ion batteries (LIBs) are widely recognized as advanced energy storage systems
(ESSs) due to their enhanced power capacity, extensive charging–discharging efficiency …

For a lithium battery, a second-order equivalent circuit model is adopted by studying the
battery characteristic, and a state space equation with state of charge (SOC) being one state …

In this research, a novel dynamic migration model is proposed, which can better describe
the dynamic characteristics of the lithium-ion batteries under different aging states by …

This paper investigates a Savitzky‐Golay filter based bidirectional long short‐term memory
network (SG‐BiLSTM) by using the Adam algorithm for the state of charge (SOC) estimation …

Battery management systems depend on open circuit voltage (OCV) characterization for
state of charge (SOC) estimation in real time. The traditional approach to OCV-SOC …

While lithium batteries provide high efficiency and low cost, accurately predicting the cycle
life of batteries under different charging protocols remains a challenge. The usage of …