Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11608
Title: ANN Based Design of a Rapid Battery Charger
Authors: Patel, Himanshu K.
Jadeja, Rajendra B.
Keywords: IC Faculty Paper
Faculty Paper
ITFIC003
Issue Date: 21-Nov-2007
Citation: International Conference on Computers, Communication, Control & Instrumentation – 3CI , Banglore, India, November 21-23,2007
Series/Report no.: ITFIC003-9
Abstract: This paper presents an application of ANDEng, an Artificial Neural Network Design Automation tool for the design of a rapid Nickel Cadmium battery charger. Rapid charging needs high charge current of the order of 8C where C represents the capacity of the battery. The battery charger needs an intelligent strategy as the charging has to be controlled to avoid damage to the battery due to rise in temperature caused by high charging currents. The temperature control assumes significance as the rise in temperature is exponential after initial charge. The paper also presents the analog implementation of neurons with log sigmoid and linear activation functions using discrete components.
URI: http://10.1.7.192:80/jspui/handle/123456789/11608
Appears in Collections:Faculty Papers, E&I

Files in This Item:
File Description SizeFormat 
ITFIC003-9.pdfITFIC003-9179.44 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.