A battery management system needs a robust algorithm for online state-of-charge estimation
of batteries in different dynamic systems. Due to the ease of implementation, model-based …

Lithium-ion batteries as a dominant green energy are widely used in electrical vehicles (EV)
due to their unique advantages. The battery modeling, parameter identification and state …

Accurate remaining mileage prediction is still a challenge for electric vehicles. State-of-
energy and state-of-charge are the state parameters used to represent the remaining …

A novel online adaptive state of charge (SOC) estimation method is proposed, aiming to
characterize the capacity state of all the connected cells in lithium-ion battery (LIB) packs …

Lithium‐ion batteries (LIBs) are widely used in electric vehicles due to its high energy
density and low pollution. As the key monitoring parameters of battery management system …

As the main candidate of energy storage system for electric vehicles and hybrid electric
vehicles, lithium-ion battery has attracted extensive attention. The working characteristics of …

This paper aims to improve the stability and robustness of the state-of-charge estimation
algorithm for lithium-ion batteries. A new internal resistance-polarization circuit model is …

The state of charge (SOC) and state of energy (SOE) are the key indices of the battery
management system (BMS) of lithium-ion batteries. Based on the second-order resistor …

Accurate state of charge (SOC) estimation is an important basis for battery energy
management and the applications of lithium-ion batteries. In this paper, an improved …

Accurate state-of-charge (SOC) estimation is essential for fully utilizing the battery
performance of electric vehicles. Considering the demand for algorithms with the …