DocumentCode :
1815050
Title :
A methodology to assess the State of Health of lithium-ion batteries based on the battery´s parameters and a Fuzzy Logic System
Author :
Zenati, Ali ; Desprez, Philippe ; Razik, Hubert ; Rael, Stéphane
Author_Institution :
Dept. de la Rech., SAFT, Bordeaux, France
fYear :
2012
fDate :
4-8 March 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a methodology used to assess the State of Health (SOH) of lithium-ion batteries. This methodology can be readily embedded in all battery management devices including the electronics for electric vehicles. The smart estimation method is based on a Fuzzy Logic System (FLS) and two calculated battery´s parameters. Therefore it enhances the SOH value based primarily on both the calendar and the cycling life. The FLS is constructed by using only the temperature and the absolute value of the current that the battery sustains. Finally, through the experiments, obtained results for both a new and an aged battery demonstrate the accuracy of the methodology and how it can improve the battery´s lifespan.
Keywords :
battery management systems; battery powered vehicles; estimation theory; fuzzy logic; secondary cells; FLS; SOH value; battery lifespan; battery management device; battery parameters; cycling life; electric vehicle; fuzzy logic system; lithium-ion batteries state of health; smart estimation method; Aging; Batteries; Battery charge measurement; Electrical resistance measurement; Fuzzy logic; Resistance; Temperature measurement; Ageing; Capacity; Fuzzy Logic System; Lithium-ion batteries; Ohmic resistance; State of Health;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Vehicle Conference (IEVC), 2012 IEEE International
Conference_Location :
Greenville, SC
Print_ISBN :
978-1-4673-1562-3
Type :
conf
DOI :
10.1109/IEVC.2012.6183268
Filename :
6183268
Link To Document :
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