Title :
FPGA implementation of a Lead-Acid Battery for photovoltaic applications
Author :
N. Kabache;M. Bouaissa;A. Laidi;S. Moulahoum;H. Houassine
Author_Institution :
Research Laboratory on Electrical Engineering and Automatic, University of Medea, Algeria
Abstract :
The identification of the Lead-Acid Battery (LAB) model is in important step for the energy optimal management in photovoltaic systems. In this paper we will try to improve the identification process of the battery by using the Field Programmable Gate Area tools (FPGA). To this end, the Xilinx System Generator (XSG) tool is use within the MATLAB/Simulink environment for the implementation of the battery model in an FPGA device.
Keywords :
"Batteries","Mathematical model","Genetic algorithms","Field programmable gate arrays","Hardware","Integrated circuit modeling","Lead"
Conference_Titel :
Renewable Energy Research and Applications (ICRERA), 2015 International Conference on
DOI :
10.1109/ICRERA.2015.7418602
