TY - GEN
T1 - An overview of generic battery models
AU - Hussein, Ala Al Haj
AU - Batarseh, Issa
PY - 2011/12/9
Y1 - 2011/12/9
N2 - 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.
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)
UR - http://www.scopus.com/inward/record.url?scp=82855177923&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=82855177923&partnerID=8YFLogxK
U2 - 10.1109/PES.2011.6039674
DO - 10.1109/PES.2011.6039674
M3 - Conference contribution
AN - SCOPUS:82855177923
SN - 9781457710018
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 -