Electrothermal Modeling of Lithium-Ion Batteries for Electric Vehicles.

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Bibliographic Details
Title: Electrothermal Modeling of Lithium-Ion Batteries for Electric Vehicles.
Authors: Yang, Zhuo, Patil, Devendra, Fahimi, Babak
Source: IEEE Transactions on Vehicular Technology. Jan2019, Vol. 68 Issue 1, p170-179. 10p.
Subjects: Electric vehicle batteries, Electrochemistry, Thermal stresses, Lithium-ion batteries, Temperature effect
Abstract: The performance of lithium-ion batteries is contingent on the operational temperature and applied current rate. Especially in electric vehicle application, repeated heavy-duty drive cycles impose intense thermal stress on batteries, resulting in safety concerns. This paper explains the electrochemistry within the battery and analyzes the dependence of battery internal parameters on temperature and current rate based on their electrochemical nature. In addition, this interdependence is used in the equivalent circuit model to predict the battery behavior under different drive cycles. Finally, the behavior under different drive cycles is analyzed to improve the battery performance in electric vehicles. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 134231619
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
  Group: Ti
  Data: Electrothermal Modeling of Lithium-Ion Batteries for Electric Vehicles.
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  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Zhuo%22">Yang, Zhuo</searchLink><br /><searchLink fieldCode="AR" term="%22Patil%2C+Devendra%22">Patil, Devendra</searchLink><br /><searchLink fieldCode="AR" term="%22Fahimi%2C+Babak%22">Fahimi, Babak</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Vehicular+Technology%22">IEEE Transactions on Vehicular Technology</searchLink>. Jan2019, Vol. 68 Issue 1, p170-179. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Electric+vehicle+batteries%22">Electric vehicle batteries</searchLink><br /><searchLink fieldCode="DE" term="%22Electrochemistry%22">Electrochemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+stresses%22">Thermal stresses</searchLink><br /><searchLink fieldCode="DE" term="%22Lithium-ion+batteries%22">Lithium-ion batteries</searchLink><br /><searchLink fieldCode="DE" term="%22Temperature+effect%22">Temperature effect</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The performance of lithium-ion batteries is contingent on the operational temperature and applied current rate. Especially in electric vehicle application, repeated heavy-duty drive cycles impose intense thermal stress on batteries, resulting in safety concerns. This paper explains the electrochemistry within the battery and analyzes the dependence of battery internal parameters on temperature and current rate based on their electrochemical nature. In addition, this interdependence is used in the equivalent circuit model to predict the battery behavior under different drive cycles. Finally, the behavior under different drive cycles is analyzed to improve the battery performance in electric vehicles. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/TVT.2018.2880138
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 170
    Subjects:
      – SubjectFull: Electric vehicle batteries
        Type: general
      – SubjectFull: Electrochemistry
        Type: general
      – SubjectFull: Thermal stresses
        Type: general
      – SubjectFull: Lithium-ion batteries
        Type: general
      – SubjectFull: Temperature effect
        Type: general
    Titles:
      – TitleFull: Electrothermal Modeling of Lithium-Ion Batteries for Electric Vehicles.
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            NameFull: Yang, Zhuo
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            NameFull: Patil, Devendra
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            NameFull: Fahimi, Babak
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              M: 01
              Text: Jan2019
              Type: published
              Y: 2019
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              Value: 68
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            – TitleFull: IEEE Transactions on Vehicular Technology
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