Treffer: Battery condition monitoring (BCM) technologies about lead-acid batteries

Title:
Battery condition monitoring (BCM) technologies about lead-acid batteries
Source:
Journal of power sources. 158(2):874-878
Publisher Information:
Lausanne: Elsevier Sequoia, 2006.
Publication Year:
2006
Physical Description:
print, 12 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Advanced Battery Development Center, Shin-Kobe Electric Machinery Company Limited, Saitama 369-0297, Japan
Hitachi Research Laboratory, Hitachi Limited, Hitachi-Shi, Ibaraki 319-1292, Japan
ISSN:
0378-7753
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Electrical engineering. Electroenergetics
Accession Number:
edscal.18107404
Database:
PASCAL Archive

Weitere Informationen

A novel battery condition monitoring (BCM) technology for lead-acid batteries has been developed. We have developed a highly reliable SOC monitor that improves the estimated precision of the stored capacity to ±5% for both the flooded type and VRLA. A novel SOC estimation algorithm was also developed. The SOC value was obtained by the weighting combination of the values from the SOC-DCR table and the current integration. Kalman Filtering Theory contributed to developing this system. In order to improve the accuracy of the SOC-DCR table, we have derived a theoretical equation for the SOC-DCR relationship. This equation helps to interpolate the data and improve the accuracy of the SOC-DCR table.