arrow
Return

Bandwidth based electrical-analogue battery modeling for battery modules

delete2012-11-01
delete22
PRE
AI
J
Jianwei Li
M
Michael S. Mazzola *
J
James Gafford
B
Bin Jia
辛明 cover
辛明 (Ming Xin)
DOI:10.1016/j.jpowsour.2012.07.006delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
A technique for building a high fidelity electrical-analogue battery model by identifying the model parameters at the module level, as opposed to the cell level, is proposed in this paper. The battery model, which is represented by electrical circuit components, can be easily integrated into popular simulation environments for system level design and predictive analysis. A novel bandwidth based time-domain procedure is introduced for identifying the model parameters by selective assignment of the limited bandwidth of the battery model approximation according to the natural bandwidth of the system that uses the battery. The aim of this paper is to provide an accurate off-line electrical-analogue battery model for simulation of larger systems containing large-format batteries, as opposed to a detailed electrochemical model suitable for simulation of internal battery processes. The proposed procedure has been experimentally verified on a 6.8 Ah Ultralife UBBL10 Li-ion battery module which is a microcosm for a modern large-format battery pack. A maximum 0.25% error was observed during a performance test with arbitrary but bandwidth-limited charging and discharging intervals characteristic of a typical battery application. (C) 2012 Elsevier B.V. All rights reserved.
Keywords:
Batteries
Parameter identification
Electrical model
Lithium-ion
State of charge
Bandwidth
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Power Sources cover
Journal of Power Sources
IF:
7.9
Papers:
3.7W
Citations:
15.0W

Organization

M
mississippi state university
Scholars:
7.4K
Papers: 6.9K
Citations: 70
Cited Papers

Cited Papers

Identification and modelling of Lithium ion battery
err2010-12-01
err73
PREAI
errTsang, K. M.; Sun, L.; Chan, W. L.
errShare
errSave
Electro-thermal battery model identification for automotive applications
err2011-01-01
err252
PREAI
errHu, Y.; Yurkovich, S.; Guezennec, Y.; Yurkovich, B. J.
errShare
errSave
researcher View more