Accurately estimating the state of health (SOH) lithium-ion batteries is necessary to ensure battery system’s safe, stable, and efficient operation. It can be directly predicted by capacity, but latter difficult measure online. Therefore, this paper first extracts new indirect indicators from voltage current curves during charging optimizes them using Kalman filter. The Pearson correlation analysis method shows that extracted HIs have a good with capacity. On basis, Gaussian process...

Despite the identification of various prognostic factors for anaplastic thyroid carcinoma (ATC) patients over years, a precise tool these is still lacking. This study aimed to develop and validate model predicting survival outcomes ATC using random forests (RSF), machine learning algorithm. A total 1222 were extracted from Surveillance, Epidemiology, End Results (SEER) database randomly divided into training set 855 validation 367 patients. We developed an RSF traditional Cox cohort further...

In this paper, an impulsive synchronisation scheme for a class of fractional-order hyperchaotic systems is proposed. The sufficient conditions integral-order systems' are illustrated. Furthermore, we apply the to and well achieve these systems, thereby extending applicable scope synchronisation. Numerical simulations further demonstrate feasibility effectiveness proposed scheme.

Lithium-ion batteries (LIBs) have the lead as most used power source for electric vehicles and grid storage systems, a battery thermal management system (BTMS) can ensure efficient safe operation of lithium-ion batteries. Epoxy resin board (ERB) offers wide range applications in LIBs due to its significant advantages such high dielectric strength, electrical insulation, good mechanical stiffness. This study proposes an air-cooled module comprised sixteen prismatic incorporating ERB layer...

Grid-forming converters (GFMs) are faced with the threat of inrush current and sever transient instability issues during grid faults, which calls for fault ride through (FRT) capability. Several FRT control strategies proposed single GFM connected to system in existing literatures while interaction mechanism among paralleled GFMs still remain unrevealed corresponding rarely discussed. To fill this gap, coordinated based on mode-switching is article. The would turn into mode periods return...

State of charge (SOC) estimation for lithium-ion battery (LIB) is always a vital issue management system (BMS) LIBs. Due to the complex nonlinear characteristics LIBs, data-driven model and methods have been proposed. Among them, back propagation neural network (BPNN) one widely used machine learning (ML) method. To enhance performance BPNN fractional-order (FO BPNN) based on gradient method designed SOC LIB in this paper. Moreover, temperature acting as key factor also taken into...

Lithium-ion batteries have been widely used in the field of energy storage, due to high density, wide temperature range and long service life. However, application, parameters such as capacity voltage each cell battery pack are inconsistent unreasonable use, poor operating environment other factors. In this paper, qualitative relationship between variation lithium-ion SOC is firstly analyzed, then an identification method proposed based on three feature outliers, difference. The static...

Extreme disasters have become increasingly common in recent years and pose significant dangers to the integrated energy system’s secure dependable supply. As a vital part of an system, storage system can help with emergency rescue recovery during major disasters. In addition, it improve utilization rates regulate fluctuations renewable under normal conditions. this study, sizing scheme multi-energy equipment electric–thermal–hydrogen is optimized; economic optimization regular operating...

This paper presents, for the first time, a chaos control scheme fractional-order Buck converter with Caputo-Fabrizio derivative to suppress phenomenon. Chaos analysis of peak current mode is carried out by numerical simulation, focus on impact fractional order system's range. A controller based genetic algorithm optimized neural network then proposed, which combines parametric resonance perturbation method optimize design parameters. Finally, circuit simulations in MATLAB show that proposed...

In a battery energy storage system (BESS), an accurate estimation of state-of-charge (SOC) is great significance to prevent batteries from over-charging or over-discharging. However, existing SOC estimator implemented in management (BMS) may suffer significant error, accumulating along with time. This paper discusses online approach refine BMS, taking advantage historical operating data. After locating reference point time-series data, the maximum available capacity charge discharge tracked...

A sliding mode control design for a class of uncertain chaotic systems subject to sector nonlinear inputs and dead zone is considered in this paper. It guaranteed that, under the proposed law, can asymptotically drive system orbits arbitrarily desired trajectories even with both uncertainties input nonlinearities. However, mode, investigated still possesses advantages fast response, good transient performance insensitive parameter external disturbances as linear input. Finally,...

To meet the great demand for high penetration of distributed photovoltaics' (PV) friendly integration and its coordinated control with distribution networks (DNs), this paper is to develop a decentralized dynamic zonal clustering voltage scheme address overvoltage issues. Firstly, an improved community detection algorithm used dynamically partition DN into several clusters under different triggering mechanisms. Then proposed decomposes problem two layers, outer layer applies On-load Tap...