Lithium-ion batteries are widely used as rechargeable energy and power storage system in smart devices electric vehicles because of their high specific energy, densities, etc. The state charge (SOC) serves a vital feature that is monitored by the battery management to optimize performance, safety, lifespan lithium-ion batteries. In this paper, strong tracking adaptive fading-extended Kalman filter (STAF-EKF) based on second-order resistor–capacitor equivalent circuit model (2RC-ECM) proposed...

Lithium-ion (Li-ion) battery is a very complex nonlinear system. The data-driven state of charge (SOC) estimation method Li-ion avoids equivalent circuit modeling and parameter identification, which can describe the nonlinearity more directly accurately. To address problems low generalization ability, local miniaturization, prediction accuracy, insufficient dynamics in process single feedforward neural network, an IWOA-AdaBoost-Elman algorithm-based SOC for batteries proposed. introduces...

Lithium-ion batteries are widely used in new energy vehicles, storage systems, aerospace and other fields because of their high density, long cycle life high-cost performance. Accurate equivalent modeling, adaptive internal state characterization accurate charge estimation the cornerstones expanding application market lithium-ion batteries. According to highly nonlinear operating characteristics batteries, Thevenin model is characterize particle swarm optimization algorithm process measured...

Among the factors that affect lithium-ion batteries, ambient temperature has a great influence on charge and discharge rate, general battery performance, storage capacity of battery, hence accurate state (SOC) estimation over wide range temperatures is essential necessary. In this paper, Second-order Thevenin equivalent circuit model established with compensation varying conditions. An improved Fixed Range Forgetting Factor-Adaptive Extended Kalman Filtering (FRFF-AEKF) algorithm Saga-Husa...

Abstract The accuracy of lithium‐ion battery state estimation is critical to the safety unmanned aerial vehicles (UAVs). In this paper, aiming at high‐fidelity modeling UAV battery, a splice‐electrochemical polarization model (S‐EPM) for constructed by combining traditional electrochemical with equivalent circuit model, which greatly improved modeling. addition, novel prior generalized inverse least‐squares algorithm proposed. Also, based on algorithm, full‐parameter identification and...

<title>Abstract</title> Assessing the state of charge (SOC) is essential in guaranteeing precise and effective use lithium-ion batteries electric vehicles smart devices. For these to continue be dependable, safe use, have an appropriate service life a variety applications, such as portable electronics, accurate SOC estimation by battery management system (BMS) essential. To examine effects training testing variables on estimate accuracy, this study makes transfer learning long short-term...

This work was supported by the National Natural Science Foundation of China, (Grant No. 11872058), Sichuan and Technology Program China (No.2019YFG0114) Abstract A major challenge in processing analysis images is presence noise especially terahertz images. Denoising techniques are designed to remove or distorted while maintaining original image quality. In this paper, denoising proposed using different filtering methods. provides an algorithm that denotes with a non- linear spatial function...

In this study, to improve the urban electric vehicles’ state of energy (SOE) estimation accuracy, convergence speed, resilience and reduce SOC computational cost, an improved fuzzy sliding window multiple innovation cubature Kalman filter (FSW-CKF) algorithm is proposed. A adaptive adjustment method developed optimize speed CKF. To accuracy SOE robustness CKF, a strategy also designed realize dynamic change innovation. Finally, low-cost fast achieved through polynomial fitting. The...

Detection of battery power has always been the core management system electric vehicles, and fast accurate estimation charged state can guarantee safe operation vehicles. The key to improving state-of-charge is an appropriate model establishment coupled with a suitable algorithm. This research seeks adopt accomplish lithium-ion based on Gaussian function build up open-circuit voltage A reduced-order extended Kalman filtering algorithm proposed hybrid pulse characterization parameter...

State of Charge (SOC) represents the available battery capacity and is one most important states that need to be monitored optimize performance extend lifetime lithium-ion batteries. SOC estimation a challenging task hindered by considerable changes in characteristics over its due aging distinct nonlinear behavior. This paper compares two basic methods algorithms for batteries (LIBs) focusing on description techniques test experiment elaboration their differences use management systems (BMS)...