DocumentCode :
3361738
Title :
Research upon the high-capacity lead-acid battery charge model
Author :
Yang, Kun ; Ouyang, Guangyao ; Zhang, Ping ; Zhang, Jianping
Author_Institution :
Dept. of Power Eng., Naval Univ. of Eng., Wuhan, China
fYear :
2009
fDate :
9-12 Aug. 2009
Firstpage :
5079
Lastpage :
5083
Abstract :
The simulation of the submarine battery charge process is an important part of the submarine battery modeling, which is especially a firm foundation for the further optimization usage of the modules of the whole submarine power system. In this paper, the modeling strategy of the submarine battery charge process is discussed in detail firstly, in succession an integrated algorithm in which both the improved back-propagation neural network method and the linear simulation technology are used is brought forward for the building of the battery charge model, finally the outputs of the simulation experimentation show us a comparatively high precision.
Keywords :
backpropagation; lead acid batteries; neural nets; power engineering computing; underwater vehicles; high-capacity lead-acid battery charge model; improved backpropagation neural network method; linear simulation technology; submarine battery charge process simulation; submarine power system; Analytical models; Batteries; Error correction; Life testing; Mathematical model; Mechatronics; Neural networks; Power system modeling; Power system simulation; Underwater vehicles; Battery; Charge model; Linear simulation; Neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
Type :
conf
DOI :
10.1109/ICMA.2009.5246140
Filename :
5246140
Link To Document :
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