National Changhua University of Education Institutional Repository : Item 987654321/11142
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6507/11669
Visitors : 29709908      Online Users : 407
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11142

Title: Using Grey Model to Predict Lithium-ion Battery Discharge Behavior
Authors: Liu, Chuan-Sheng;Chen, Liang‐Rui
Contributors: 電機工程系
Keywords: Lithium-ion Battery;Discharge
Date: 2010-05
Issue Date: 2012-06-05T04:34:05Z
Publisher: Federico II University
Abstract: In this paper, the study of Li-ion battery discharge voltage predicting using Grey model is presented. A test-bed for the battery discharge predicting is designed and devised. By utilizing this test-bed, the discharge condition for discharging Li-ion battery can be easily set and the data of the discharged Li-ion battery can be simultaneously obtained. Experimental results show that the GM(1,1) Grey model can precisely predict the Li-ion battery voltage curve as theory predicts. The result is greatly helpful for engineers to design a Grey-Predicted Battery Monitoring System (GP-BMS).
Relation: International Review of Eletrical Engineering, 5(3): 1040-1044
Appears in Collections:[Department and Graduate Institute of Electronic Engineering] Periodical Articles

Files in This Item:

File SizeFormat
205020610004.pdf12KbAdobe PDF625View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback