Jalal Sabor

State-of-Charge and State-of-Health Lithium-Ion Batteries’ Diagnosis According to Surface Temperature Variation

This paper presents a hybrid state-of-charge (SOC) and state-of-health (SOH) estimation technique for lithium-ion batteries according to surface temperature variation (STV). The hybrid approach uses an adaptive observer to estimate the SOH while an extended Kalman filter (EKF) is used to predict the SOC. Unlike other estimation methods, the closed-loop estimation strategy takes into account the STV and its stability is guaranteed by Lyapunov direct method. In order to validate the proposed method, experiments have been carried out under different operating temperature conditions and various discharge currents. Results highlight the effectiveness of the approach in estimating SOC and SOH for different aging conditions.

Implementing a Fuzzy Logic Based Algorithm to Predict Solar and Wind Energies in a Hybrid Renewable Energy System

The use of multi sources systems of energy progressed significantly in different industrial sectors. Between all the existing sources of energy, batteries and renewable sources, such as photovoltaic and wind, contain the highest specified energy. However, solar and wind energies are not available all the time, their performance is affected by unpredictable weather changes and therefore, it is difficult to control as it is not always feasible to obtain an accurate mathematical model of the controlled system. Also, uncertainty of the wind power can affect system stability. This paper presents a computer algorithm based on fuzzy logic control FLC to estimate the wind and solar energies in a hybrid renewable energy system from natural factors. The wind power was estimated using the wind speed as an input parameter and the solar power was estimated using the temperature and the lighting as input parameters.

Online Parameter Identification for Supercapacitor State-of-Health Diagnosis for Vehicular Applications

In power electronic applications, aging of the electric double layer capacitors (EDLCs) is considered as a serious issue since it may lead to failure. Their degradation is usually evaluated by an increase of the internal resistance or a decrease of the equivalent capacitance. These aging indicators have a good correlation with the supercapacitors state-of-health (SoH). Generally, SoH is measured by electrochemical impedance spectroscopy (EIS). However, this technique must be performed offline and requires interruption of the systems operation. In this paper, a sliding mode observer is designed to estimate online the EDLCs aging indicators. Unlike several online estimators, the supercapacitors parameters are considered as a nonlinear random distribution with external noises which yields accurate estimation. In addition, the relationship between the capacitance and the bias voltage is considered to be nonlinear. Lyapunov stability analysis is also provided. The proposed approach is validated experimentally using a standardized dynamic current profile. Furthermore, comparison against EIS is carried out for different aging phases and under different environmental temperature conditions.

Energy management in a hybrid PV/wind/battery system using a type-1 fuzzy logic computer algorithm

This paper presents a computer algorithm based on fuzzy logic control to manage the flow of energy in a stand-alone PV/wind/battery hybrid system. The system is composed of 16 photovoltaic PV solar panels, one wind turbine and two batteries. The solar and wind energies were combined together to increase systems efficiency. Batteries were used to ensure the availability of power on demand and improve the dynamic behaviour of the system. The proposed algorithm uses fuzzy logic to control the energy between production and consumption and ensure the availability of power on demand for an isolated house in the city of Essaouira in Morocco. The algorithm was tested on real weather data taken for the region of Essaouira in the month of April and was able to determine the status of the battery for each hour. The batteries state of charge was maintained between 30% and 80%.

A type-1 fuzzy logic algorithm to manage the flow of energy in a stand-alone PV/wind/battery hybrid system

The significant increase in the prices of conventional energy sources and the public awareness of the need to reduce global warming have encouraged many countries to develop new systems based on renewable energies. Combining renewable energy sources with storage units to form a multi source system can provide a more economic, and reliable supply of electricity in all load demand conditions compared to a single-use of such systems. The energy balance between production and consumption should be carefully conducted while choosing the storage method to ensure the availability of power on demand and improve the dynamic behavior of the hybrid system. This paper presents a study of a HRES composed of Photovoltaic (PV) solar panels and a wind turbine as primary energy sources and batteries as storage units and proposes a computer algorithm based on type-1 fuzzy logic to control the energy between production and consumption and ensure the availability of power on demand.

Adaptive second order sliding mode speed control of doubly fed induction generator wind turbines

Accurate control of the wind turbine at its optimal rotational speed for a given wind speed is required to extract maximum power from the wind turbine generator system in the absence of aerodynamic pitch control. Due to inherent wind turbine nonlinearities and unpredictable wind speed fluctuations, precise control is a difficult task to undertake. This paper presents a sliding mode speed controller for doubly fed induction generator (DFIG) wind turbines. The strategy uses sliding mode control theory based on adaptive twisting algorithm, to achieve accurate tracking under the wind turbines nonlinear dynamics. As such, robustness to unpredictable wind uncertainties is achieved. Simulation results for different situations highlight the performance of the proposed controller under various wind speed operating conditions. A test platform is ongoing to validate the results.