This paper presents a novel data-driven based approach for the estimation of the state of charge (SoC) of multiple types of lithium ion battery (LiB) cells with adaptive extended Kalman filter (AEKF). A modified second-order RC network based battery model is employed for the state estimation. Based on the battery model and experimental data, the SoC variation per mV voltage for different types ...

This paper used a Vanadium Redox flow Battery (VRB) as the storage battery and designed a two-stage topology of a VRB energy storage system in which a phase-shifted full bridge dc-dc converter and three-phase inverter were used, considering the low terminal voltage of the VRB. Following this, a model of the VRB was simplified, according to the operational characteristics of the VRB in this desi...

Accurate state of charge (SOC) estimation is of great significance for a lithium-ion battery to ensure its safe operation and to prevent it from over-charging or over-discharging. However, it is difficult to get an accurate value of SOC since it is an inner sate of a battery cell, which cannot be directly measured. This paper presents an Adaptive Cubature Kalman filter (ACKF)-based SOC estimati...

All state of charge (SoC) estimation algorithms based on equivalent circuit models (ECMs) estimate the open voltage (OCV) and convert it to SoC using SoC-OCV nonlinear relation. These require identification ECM parameters In literature, various techniques are proposed simultaneously identify parameters. However, simultaneous relation remains challenging. This paper presents a novel technique co...

Many battery state of charge (SOC) estimation methods have been studied for decades; however, it is still difficult to precisely estimate SOC because nonlinear and affected by many factors, including the charge–discharge conditions. The extended Kalman filter (EKF) generally used estimation, however its accuracy can decrease owing uncertain inaccurate parameters models various factors with diff...

In battery applications, particularly in automobiles, submarines and remote communications, the state of charge (SoC) is needed in order to manage batteries efficiently. The most widely used physical parameter for this is electrolyte density. However, there is greater dependency between electrolyte viscosity and SoC than that seen for density and SoC. This paper presents a Quartz Crystal Microb...

Temperature strongly impacts battery performance, safety and durability, but modelling heat transfer requires accurately measured thermal properties. Herein we propose new approaches to characterise the capacity anisotropic thermal-conductivity components for lithium-ion pouch cells. Heat was estimated by applying Newton's law of cooling an insulated container within which cell submerged in war...

The state of charge (SOC) plays a critical role in battery management systems. This paper discusses the stability nonlinear SOC observer based on extended Kalman filter. model characterizing lithium-ion nonlinearity is basis analysis. After balancing accuracy and complexity models, Thevenin logarithmic fitting OCV (open circuit voltage) are employed. theoretically analyzed from two aspects: par...

The growing share of renewable energies in power production and the rise market battery electric vehicles increase demand for technologies. In both fields, a predictable operation requires knowledge internal state, especially its state charge (SoC). Since direct measurement SoC is not possible, Kalman filter-based estimation methods are widely used. this work, step-by-step guide implementation ...