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In this paper, we have realized and experimented a box-type solar cooker that is powered by photovoltaic energy. Under an illumination of 770 W / m2, an ambient temperature of 18°C and electrical power of 340 W, the results show, on the one hand, a temperature of the thermal resistance which heats the cooker equal to 686°C, and, on the other hand, a temperature and a thermal efficiency of the cooker worth 200°C and 77%, respectively. Heating one liter of water yields a boiling time of 50 minutes, and the time needing for complete evaporation is of the order of 3 hours. In addition, the results show very significant improvements compared to thermal cookers operating directly to the sun, namely 53% increase of the heating temperature and 60 % decrease on its heating duration. All the results and performances obtained in this work demonstrate the feasibility of box-type solar cookers, powered by photovoltaic energy inside homes.

In this paper, we propose an effective technique for modeling of Lithium Ion (Li-Ion) batteries using Nonlinear Auto Regressive model with eXogenous input (NARX). The Artificial Neural Network (ANN) are trained employing the data collected from the battery testing process. The NARX network find the request battery model, where the input variables are the battery terminal voltage, SoC at the previous sample, and the current, temperature at the present sample. The proposed model is implemented on a Li-Ion battery cell. Simulation of this model in Matlab/Simulink show a good accuracy of proposed model.