The estimation of state of charge (SOC) is a crucial evaluation index in a battery management system (BMS). The value of SOC indicates the remaining capacity of a battery, which provides a good guarantee of safety and reliability of battery operation. It is difficult to get an accurate value of the SOC, being one of the inner states. In this paper, a strong tracking cubature Kalman filter (STCK...

State-of-charge (SoC) dependent bidding allows merchant storage participants to incorporate SoC-dependent operation and opportunity costs in a bid-based market clearing process. However, such bid results non-convex cost function the multi-interval economic dispatch clearing, limiting its implementation practice. We show that simple restriction on format removes non-convexity, making of bids sta...

Summary The state‐of‐charge (SOC) of the battery is most critical parameter for an electric vehicle (EV) dashboard. Generally, Coulomb counting (CC) method used SOC estimation, but conventional CC has some errors due to initial determination. This work uses modeling and estimation a lithium‐iron‐phosphate (LFP) determine SOC. equivalent circuit models (ECMs) have been parameters by least‐square...

In order to improve the estimation accuracy of battery state charge (SOC) based on equivalent circuit model, a lithium-ion SOC method adaptive forgetting factor least squares and unscented Kalman filtering is proposed. The Thevenin model established. Through simulated annealing optimization algorithm, adaptively changed in real-time according demand, realized by combining least-squares online i...

The monitoring and prognosis of cell degradation in lithium-ion (Li-ion) batteries are essential for assuring the reliability and safety of electric and hybrid vehicles. This paper aims to develop a reliable and accurate model for online, simultaneous state-of-charge (SOC) and state-of-health (SOH) estimations of Li-ion batteries. Through the analysis of battery cycle-life test data, the instan...

A generalized approach for combining state of charge (SOC) and state of health (SOH) techniques together to create a self-adaptive battery monitoring system is discussed. First, previously published techniques and their feasibility for on-line SOC and SOH estimation are reviewed. Then, a method of utilizing SOH predictions to update the SOC estimator in order to minimize drift due to capacity l...

This paper establishes an accurate and reliable study for estimating the lithium-ion battery’s State of Charge (SoC). An state space model is used to determine parameters nonlinear model. African Vultures Optimizers (AVOA) are solve issue identifying battery accurately estimate SoC. A hybrid approach consists Coulomb Counting Method (CCM) with Adaptive Unscented Kalman Filter (AUKF) SoC battery...

Accurate state of charge (SOC) estimation can prolong lithium-ion battery life and improve its performance in practice. This paper proposes a new method for SOC estimation. The second-order resistor-capacitor (2RC) equivalent circuit model (ECM) is applied to describe the dynamic behavior of lithium-ion battery on deriving state space equations. A novel method for SOC estimation is then present...

Battery energy storage systems (BESSs) provide many benefits to the electricity grid, including stability, backup power, and flexibility in introducing more clean sources. As BESS penetration grows, knowledge of uncertainty battery's state charge (SOC) estimate is crucial for planning optimal power injection trajectories. This paper proposes a framework quantifying SOC estimation based on batte...