DocumentCode
2930276
Title
Study and comparison between different battery ageing algorithms
Author
Agüera, A. López ; Cabo, I. Rodríguez
Author_Institution
Sustainable Energy Applic. Group, Univ. of Santiago de Compostela, Santiago de Compostela, Spain
fYear
2012
fDate
20-22 June 2012
Firstpage
769
Lastpage
772
Abstract
The prediction of batteries final failure in standalone photovoltaic systems is a quite important issue. The implementation of a simple and efficient method for such systems is mandatory for any application. The scale parameter of the discharge voltage distribution Weibull fit over time and its corresponding Root Mean Square Error (with respect to the initial distribution) evolution are proposed, checked and compared as useful tools for the early prediction of batteries breakdowns. The experimental set-up is a macro-grid of 1600 identical stand alone PV systems. (Pierre Auger Observatory). But not only is the prediction of the batteries lifetime important. The indication of the possible cause of dead is an interesting point. The sensitivity for different basic parameters intrinsically related to stand-alone photovoltaic systems (weather during installation, time of storage, kind of anomaly..) was also studied for both algorithms.
Keywords
Weibull distribution; ageing; electric breakdown; failure analysis; lead acid batteries; mean square error methods; photovoltaic power systems; voltage distribution; Weibull distribution; battery ageing algorithms; battery breakdown prediction; discharge voltage distribution; lead-acid battery ageing; root mean square error evolution; stand alone PV systems; standalone photovoltaic systems; Aging; Batteries; Discharges (electric); Photovoltaic systems; Prediction algorithms; Sensitivity; Anomalies; Photovoltaic systems; ageing; prediction algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2012 International Symposium on
Conference_Location
Sorrento
Print_ISBN
978-1-4673-1299-8
Type
conf
DOI
10.1109/SPEEDAM.2012.6264506
Filename
6264506
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