Cart (Loading....) | Create Account
Close category search window
 

On-Line Detection of State-of-Charge in Lead Acid Battery Using Both Neural Network and On-Line Identi cation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Morita, Y. ; Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol. ; Yamamoto, S. ; Sun Hee Lee ; Mizuno, N.

To realize a stable supply of electric power in an automobile, an accurate and reliable detection method of SOC (state-of-charge) in a lead acid battery is required. However the dynamics of the battery is very complicated. The characteristics of the battery greatly change due to its degradation. Moreover a automobile has many driving patterns, which are unknown beforehand. Thus it is not easy to detect the SOC analytically. In this paper, to overcome this problem, a new on-line SOC detection method using both neural network and on-line identification is proposed. In order to increase the detection accuracy of degraded batteries, the on-line identified parameters based on the simple battery model are used as input signal in the neural network. The detection accuracies for different sized batteries and various degradation states are investigated

Published in:

IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on

Date of Conference:

6-10 Nov. 2006

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.