An overview of generic battery models

Ala Al Haj Hussein, Issa Batarseh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

94 Citations (Scopus)

Abstract

Battery performance prediction is crucial in many applications. A good prediction mechanism of the battery performance has many advantages. For example, it increases the battery lifetime by preventing over (dis)charging the battery, it allows utilizing the entire capacity of the battery, and it offers an access to the user to know the amount of energy in the battery pack. In this paper, some battery models are derived and tested on a commercial Lithium battery cell. The results show the capabilities of these models under different tests.

Original languageEnglish
Title of host publication2011 IEEE PES General Meeting
Subtitle of host publicationThe Electrification of Transportation and the Grid of the Future
DOIs
Publication statusPublished - Dec 9 2011
Event2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future - Detroit, MI, United States
Duration: Jul 24 2011Jul 28 2011

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

Other2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
Country/TerritoryUnited States
CityDetroit, MI
Period7/24/117/28/11

Keywords

  • Linear model
  • Nernst model
  • RC model
  • Shepherd model
  • Unnewehr model
  • state-of-charge (SOC)
  • state-of-health (SOH)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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