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