Lithium-ion battery packs in hybrid and pure electric vehicles are always equipped with a
battery management system (BMS). The BMS consists of hardware and software for battery …

As hybrid and electric vehicle technologies continue to advance, car manufacturers have
begun to employ lithium ion batteries as the electrical energy storage device of choice for …

In this paper, we survey two kinds of mathematics-based battery models intended for use in
hybrid and electric vehicle simulation. The first is circuit-based, which is founded upon the …

An adaptive Kalman filter algorithm is adopted to estimate the state of charge (SOC) of a
lithium-ion battery for application in electric vehicles (EVs). Generally, the Kalman filter …

In recent years, a significant interest in hybrid and battery electric vehicles has arisen
globally due to reducing fuel consumption, mitigating dependence on imported oil and …

Battery model plays an important role in the simulation of electric vehicles (EVs) and states
estimation of the batteries in the development of the model-based battery management …

Battery state of health (SOH) estimation is a crucial challenge for electric vehicles due to the
complicated aging mechanism of a battery. In this paper, a new method for battery SOH …

In this brief, to get a more accurate and robust state of charge (SoC) estimation, the lithium-
ion battery model parameters are identified using an adaptive unscented Kalman filtering …

This paper describes the application of an extended Kalman filter (EKF) combined with a per-
unit (pu) system to the identification of suitable battery model parameters for the high …

In this paper, a novel approach for battery state of charge (SOC) estimation in electric
vehicles (EVs) based on an adaptive switching gain sliding mode observer (ASGSMO) has …