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DESIGN, SIMULATION AND ANALYSIS OF AN INTELLIGENT LEAD-ACID BATTERY CHARGER FED BY SOLAR SYSTEM

Authors :
Hussain S. Maraud
Isam M. Abdulbaqi
Ammar I. Majeed
Source :
Journal of Engineering and Sustainable Development, Vol 20, Iss 5 (2016)
Publication Year :
2016
Publisher :
Mustansiriyah University/College of Engineering, 2016.

Abstract

The objectives of this work are to design, simulate and analyze the operation of an intelligent lead-acid battery charger supplied from two (250W) nominal power, Photovoltaic (PV) panels in parallel to charge two (200Ah) capacity lead-acid batteries in parallel. The storage battery's effectiveness depends on the charging process. Hence, this research deals with the study, simulation, and design of an intelligent charger fed by the solar system due to the latest technologies. The developed charging method entitled "the decreased charging current based on SOC" is adopted in this research to charge a lead-acid battery. The principle of decreased charging current is to make the real charging current as close as possible to the maximum acceptable current. The advantage of this technique is to mix the rapidity of charging and prevents overcharging and generating gases. Also, the design considers different operating conditions of load, battery state of charge (SOC), and ambient effect in order to achieve the best charging condition of the batteries and to be compatible with the user requirements. Therefore, this technique of charging can be considered intelligent charging compared to traditional charging ways, which are often either a constant charging current or a constant charging voltage. The flexible, simple, and cheap design is the objective of this research. The obtained results agree with the research objective.

Details

Language :
Arabic, English
ISSN :
25200917 and 25200925
Volume :
20
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Journal of Engineering and Sustainable Development
Publication Type :
Academic Journal
Accession number :
edsdoj.7a212e61d40545c5b9a99314737f19dc
Document Type :
article