DocumentCode :
2595689
Title :
How to get the best performance from lithium cells in telecommunications battery module
Author :
Fulimeni, Luca ; Apolito, Luigi´d ; Bellesi, Paolo ; Pecorari, Mauro ; Ficcadenti, Roberto ; Isidori, Roberto
Author_Institution :
R&D Dept., FAAM S.p.A., Monterubbiano, Italy
fYear :
2011
fDate :
9-13 Oct. 2011
Firstpage :
1
Lastpage :
8
Abstract :
A challenging problem in energy storage systems for stand-by application, to obtain the best performance from the lithium cell battery packs/module, is the: (1) Cells homogeneity, (2) low and high operative temperature, (3) cells and module balancing. In order to reduce these problems FAAM Group S.p.A., developed: (1) a method for the selection and classification of homogenous cells to form uniform battery pack using Self Organizing Maps neural networks. The selection considers both experimental data and identified characteristics. The State of Charge variability within each selected group of cells has been chosen as the clustering criterion to find the method which gives the best results in terms of homogeneity of the battery. (2) a Battery Management System in Master/ slave configuration that run an own software that allow, in addition at cells balancing, even module balancing and a complete thermal management. (3) Lithium Iron phosphate cells with "special " anode material that improve cells performances at low temperature. In the following pages are the results of applying these knowledge to create an energy storage system for telecommunications use.
Keywords :
battery management systems; energy storage; iron compounds; lithium compounds; power engineering computing; secondary cells; self-organising feature maps; FAAM Group S.p.A; LiFePO4; battery management system; cells balancing; cells homogeneity; clustering criterion; energy storage systems; high operative temperature; homogenous cells; lithium cell battery packs/module; lithium iron phosphate cells; low operative temperature; master/slave configuration; module balancing; self organizing maps neural networks; stand-by application; state of charge variability; telecommunications battery module; thermal management; Character recognition; Discharges; Instruments; Multiplexing; Neural networks; Polynomials; System-on-a-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Energy Conference (INTELEC), 2011 IEEE 33rd International
Conference_Location :
Amsterdam
ISSN :
2158-5210
Print_ISBN :
978-1-4577-1249-4
Electronic_ISBN :
2158-5210
Type :
conf
DOI :
10.1109/INTLEC.2011.6099808
Filename :
6099808
Link To Document :
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