DocumentCode :
2966149
Title :
H filter-based online battery state-of-charge estimator for pure electric vehicles
Author :
Castillo, G.A.C.L. ; Odulio, C.M.F.
Author_Institution :
Electr. & Electron. Eng. Inst., Univ. of the Philippines - Diliman, Quezon City, Philippines
fYear :
2012
fDate :
19-22 Nov. 2012
Firstpage :
1
Lastpage :
6
Abstract :
The development of an online battery SOC estimator using an H-infinity filter for pure electric vehicles equipped with a Lead Acid battery pack is presented. The procedure followed in the computation of the battery parameters is discussed along with the methods used in the selection of the H-infinity filter parameters. A simulation based H-infinity estimator is presented together with a hardware based estimator. An analysis of the results is shown in the later sections showing a hardware estimator capable of providing outputs with errors as low as ±6%. Finally, a discussion on the limitations of the hardware estimator together with a few recommendations for improvement is presented.
Keywords :
H filters; battery powered vehicles; power filters; secondary cells; H-infinity filter parameters; H filter-based online battery state-of-charge estimator; Pb; battery parameters; hardware based estimator; lead acid battery pack; online battery SOC estimator; pure electric vehicles; Hardware; Transducers; H-infinity; State of Charge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2012 - 2012 IEEE Region 10 Conference
Conference_Location :
Cebu
ISSN :
2159-3442
Print_ISBN :
978-1-4673-4823-2
Electronic_ISBN :
2159-3442
Type :
conf
DOI :
10.1109/TENCON.2012.6412322
Filename :
6412322
Link To Document :
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