a Record control number 000253954100010

a ISSN 1568-4946

a Original cataloging agency NEU GrandLibrary

a Language code of text/sound track or separate title eng

a Classification number QA76.9

b Item number .D96 2008

a Personal name Aliev, Rafik A.

h Medium Electronic Document

a Title Dynamic data mining technique for rules extraction in a process of battery charging.

c Statement of responsibility, etc R. A. Aliev, R. R. Aliev, B. Guirimov, K.Uyar.

c Date of publication, distribution, etc 2008.

b Name of publisher, distributor, etc Elsevier,

a Place of publication, distribution, etc Amsterdam :

a Summary, etc Battery charging controllers design and application is a growing industry direction. Fast and efficient charging of battery packs is a problem which is difficult and often expensive to solve using conventional techniques. The majority of existing works on intelligent charging systems are based on expert knowledge and heuristics. Not all features of the desired charging behavior can be attained by the hard- wired logic implemented by expert generated rules. Because the battery charging is a highly dynamic process and the chemical technology a battery uses varies significantly for different battery types, data mining technique can be of real importance for extracting the charging rules from the large databases, especially when the charging logic is to be continuously changed during the life of the battery dependent on the type and characteristics of the battery and utilization conditions. In this paper we use soft computing-based data mining technique for extraction of control rules for effective and fast battery charging process. The obtained rules were used for NiCd battery charging. The comparative performance evaluation was done among the existing charging control methods and the proposed system, which demonstrated a significant increase of performance (minimum charging time and minimum overheating) using the soft computing-based approach. (C) 2007 Elsevier B.V. All rights reserved.

a Topical term or geographic name as entry element Near East University Article

a Topical term or geographic name as entry element Computer science

a Topical term or geographic name as entry element Yakın Doğu Üniversitesi Makale

a Topical term or geographic name as entry element Data mining

a Topical term or geographic name as entry element Control rules

a Topical term or geographic name as entry element Soft Computing

g Relationship information JUN 2008, Vol 8 Issue 3, p1252-1258

t Title Dynamic data mining technique for rules extraction in a process of battery charging

x International Standard Serial Number 15684946

u Uniform Resource Identifier http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1016/j.asoc.2007.02.015