Research on the Capacity Fading Characteristics of a Li-ion Battery based on an Equivalent Thermal Model
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作者:
Liu Xintian
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Hefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R ChinaHefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R China
Liu Xintian
[1
]
Zeng Guojian
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Hefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R ChinaHefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R China
Zeng Guojian
[1
]
He Yao
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Hefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R ChinaHefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R China
He Yao
[1
]
Dong Bo
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Hefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R ChinaHefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R China
Dong Bo
[1
]
Xu Xingwu
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机构:
Hefei GuoXuan High Tech Power Energy Co Ltd, Hefei, Peoples R ChinaHefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R China
Xu Xingwu
[2
]
机构:
[1] Hefei Univ Technol, New Energy Automobile Engn Res Inst, Hefei, Peoples R China
[2] Hefei GuoXuan High Tech Power Energy Co Ltd, Hefei, Peoples R China
来源:
PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTERNET OF THINGS
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2015年
Temperature has a direct impact on the capacity fading of a power Li-ion battery during the battery's lifecycle; however, the inner temperature of the battery cannot be measured directly because of the sealed structure. To address this problem, we estimate the inner temperature of a Li-ion battery by measuring the surface and ambient temperature using an equivalent thermal model to build the ETM-Arrhenius (equivalent thermal model-Arrhenius) model that models the dependence of the battery capacity fading on the inner temperature to enable the accurate prediction of the capacity fading characteristics of a Li-ion battery during its lifecycle. We conducted a lifecycle test on a Li-ion battery at different temperatures, and the results indicate that the ETM-Arrhenius model can predict the capacity fading characteristics of a Li-ion battery accurately during its lifecycle; in addition, when the model is used in EFK, UKF and other common state-of-charge (SOC) estimation algorithms, the accuracy of the SOC estimation can be improved significantly.