The increasing deployment of battery storage applications in both grid and electric vehicle fields is generating a vast used market. These batteries are typically recycled but could be reused second-life applications. One the challenges to obtain an accurate remaining useful life (RUL) estimation algorithm, which determines whether suitable for reuse estimates number cycles will last. In this article, RUL problem considered. We propose several health indicators (HIs), some have not been...

In induction home appliances, the characterization of physical properties vessel allows for better control strategies and new cooking functionalities. Current modelling techniques calculate a simple R-L equivalent circuit that models inductor impedance taking into account all coupling parameters, but these do not allow to directly extract such as material. this paper, methodology online detection pot material is presented. On approach, included in hob simultaneously serves heating element...

The use of ESS in standalone photovoltaic installations is essential to supply energy demands, independently solar generation. Accurate prediction the battery state critical for safe, durable, and reliable operation systems this type installations. In study, an installation located area Aragon (Spain) has been considered. Two methods, based on different types RNN, are proposed predict voltage two days ahead. Specifically, NARX network LSTM studied compared. implemented algorithms process...

Energy Storage in photovoltaic installations has increased popularity recent years due to the improvement solar panel technology and energy storage systems. In several places where grid is not available, remote isolated rural locations or developing countries, are one of main options power DC micro-grids. these scenarios, elements mandatory natural day-night cycles low irradiation periods. Traditionally, lead-acid batteries have been responsible for this task, their availability cost....

Abstract This paper presents a fault detection system for photovoltaic standalone applications based on Gaussian Process Regression (GPR). The installation is communication repeater from the Confederación Hidrográfica del Ebro (CHE), public institution which manages hydrographic of Aragón, Spain. Therefore, fault-tolerance mandatory requirement, complex to fulfill since it depends meteorology, state batteries and power demand. To solve it, we propose an online voltage prediction solution...

This paper proposes a strategy for the active and reactive power flow control, applied to three-phase inverter connected microgrid. In recent years, smart grids have changed energy distribution sector. The quality is essential in integration of renewable sources into small microgrids. These microgrids can operate stand-alone mode or utility grid. continuous development non-linear loads such as converters, fluorescent lamp, AC DC-drives, switched uninterruptable supplies are producing...

In this paper, a new algorithm for enhanced management of hybrid fuel-cell system is proposed. The purpose algorithm, which has been called Maximum Efficiency Point Tracking (MEPT-algorithm), to polarize the fuel cell in an optimum point maximizing its efficiency and minimizing consumption. goal guarantee fast power transients load while kept by hybridization with energy storage (ESS) based on ultracapacitors. model simulated Matlab/Simulink applying proposed classical Power (MPPT)...

This paper introduces a new methodology to classify data extracted from off-grid solar installations, based on the charge and discharge processes. Using real installation, we propose daily behaviour of energy harvesting according characteristics voltage current curves installation. Five type situations have been established, in which system can be summarized. classification help better understand state installations charging process train more complex algorithms.

Effective energy treatment is one of the challenges to which scientists are devoting more interest and resources. Currently, there a need optimize generation by renewable methods improve storage management battery cells. One these emerging lines aims face problem uncertainty that exists in photovoltaic installations. In this paper, we proposed use machine learning predict state (voltage) batteries at several days into future. The results obtained from two recurrent neural networks such as...

This paper proposes a new methodology to identify the different degradation processes of Li-Ion battery cells. The goal this study is determine if factors can be separated by waveform analysis from aged cells with similar remaining capacity. In contrast other works, proposed method identifies past operating conditions in cell, regardless actual State Health. based on data-driven approach using SOM (Self-organizing map), an unsupervised neural network. To verify hypothesis has been trained...

This paper explores a new methodology based on data-driven approaches to identify and track degradation processes in Li-ion batteries. Our goal is study if it possible differentiate the state of cells that present similar aging terms overall parameters (similar remaining capacity, health or internal resistance), but have had different applications conditions use (different discharge currents, depth discharges, temperatures, etc.). For this purpose, proposed analyze voltage waveforms obtained...

Battery parameters such as State of Charge (SoC) and Health (SoH) are key to modern applications; thus, there is interest in developing robust algorithms for estimating them. Most the techniques explored this end rely on a battery model. As batteries age, their behavior starts differing from models, so it vital update models order be able track after some time application. This paper presents method performing online parameter tracking by using Extremum Seeking (ES) algorithm. algorithm fits...