An overview of generic battery models

Ala Al Haj Hussein; Issa Batarseh

doi:10.1109/PES.2011.6039674

An overview of generic battery models

Ala Al Haj Hussein
, Issa Batarseh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

136 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 language	English
Title of host publication	2011 IEEE PES General Meeting
Subtitle of host publication	The Electrification of Transportation and the Grid of the Future
DOIs	https://doi.org/10.1109/PES.2011.6039674
Publication status	Published - 2011
Externally published	Yes
Event	2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future - Detroit, MI, United States Duration: Jul 24 2011 → Jul 28 2011

Publication series

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

Other

Other	2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
Country/Territory	United States
City	Detroit, MI
Period	7/24/11 → 7/28/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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

Access to Document

10.1109/PES.2011.6039674

Cite this

Hussein, AAH & Batarseh, I 2011, An overview of generic battery models. in 2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future., 6039674, IEEE Power and Energy Society General Meeting, 2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future, Detroit, MI, United States, 7/24/11. https://doi.org/10.1109/PES.2011.6039674

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keywords = "Linear model, Nernst model, RC model, Shepherd model, Unnewehr model, state-of-charge (SOC), state-of-health (SOH)",

author = "Hussein, \{Ala Al Haj\} and Issa Batarseh",

year = "2011",

doi = "10.1109/PES.2011.6039674",

language = "English",

isbn = "9781457710018",

series = "IEEE Power and Energy Society General Meeting",

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note = "2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future ; Conference date: 24-07-2011 Through 28-07-2011",

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AU - Batarseh, Issa

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AB - 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.

KW - Linear model

KW - Nernst model

KW - RC model

KW - Shepherd model

KW - Unnewehr model

KW - state-of-charge (SOC)

KW - state-of-health (SOH)

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M3 - Conference contribution

AN - SCOPUS:82855177923

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T3 - IEEE Power and Energy Society General Meeting

BT - 2011 IEEE PES General Meeting

T2 - 2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future

Y2 - 24 July 2011 through 28 July 2011

ER -

An overview of generic battery models

Abstract

Publication series

Other

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this