As one of the critical state parameters battery management system, charge (SOC) lithium batteries can provide an essential reference for safety management, charge/discharge control, and energy electric vehicles (EVs). To analyze application deep learning in vehicles’ power SOC estimation, this study reviewed technical process, common public datasets, neural networks used, as well structural cha...

State-of-charge (SOC) estimations of Li-ion batteries have been the focus of many research studies in previous years. Many articles discussed the dynamic model’s parameters estimation of the Li-ion battery, where the fixed forgetting factor recursive least square estimation methodology is employed. However, the change rate of each parameter to reach the true value is not taken into consideratio...

Abstract Due to the widespread use of renewable energy sources, lithium-ion batteries have developed rapidly because such as photovoltaics and wind, which are very much affected by environment their power output can be better leveled if used. Battery state charge (SOC) characterizes remaining battery power, while health (SOH) life state, they key parameters characterize batteries. In terms SOC ...

A battery’s state of charge (SOC) is used to assess its residual capacity. It a very important parameter for the control electric vehicle (EV). The objective this paper estimate SOC lithium-ion battery (LIB) using an adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) because must be estimated from measurable parameters such as current, voltage or temperature. Two ...

In order to safely and efficiently use the power as well as to extend the lifetime of the traction battery pack, accurate estimation of State of Charge (SoC) is very important and necessary. This paper presents an adaptive observer-based technique for estimating SoC of a lithium-ion battery pack used in an electric vehicle (EV). The RC equivalent circuit model in ADVISOR is applied to simulate ...

Accurate modeling of the nonlinear relationship between the open circuit voltage (OCV) and the state of charge (SOC) is required for adaptive SOC estimation during the lithium-ion (Li-ion) battery operation. Online SOC estimation should meet several constraints, such as the computational cost, the number of parameters, as well as the accuracy of the model. In this paper, these challenges are co...

As rechargeable lithium-ion batteries are widely used in many applications nowadays, how to accurately evaluate the battery’s state of charge(SOC) becomes a more and more important issue. A new method for estimating the SOC of lithium-ion batteries based on an inclusive equivalent circuit model is proposed in this paper. To the best of our knowledge, the parameters in the model are usually cons...

Accurate battery state-of-charge (SOC) estimation is important for the efficient and reliable operation of application systems. The extended Kalman filter (EKF), which based on model, widely used as a real-time SOC algorithm; furthermore, its accuracy depends model accuracy. However, conventional EKF uses one value each parameter ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xl...

State of charge (SOC) is a critical factor to guarantee that a battery system is operating in a safe and reliable manner. Many uncertainties and noises, such as fluctuating current, sensor measurement accuracy and bias, temperature effects, calibration errors or even sensor failure, etc. pose a challenge to the accurate estimation of SOC in real applications. This paper adds two contributions t...

Toxicity, emissions and structural damage results on lithium-ion battery (LIB) thermal runaway triggered by the electrothermal method were performed in this work. The triggering was determined to study behaviors of three types commercial LIBs. cathode material batteries after observed scanning electron microscope (SEM), transmission (TEM) X-ray diffraction (XRD). It found that as state charge (...