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Performance Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields.

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Title: Performance Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields.
Authors: Zeng, Liteng1 (AUTHOR), Weng, Chuanbo1 (AUTHOR) wencb@sdju.edu.cn, Xu, Fei1 (AUTHOR), Meng, Kangpei2 (AUTHOR)
Source: Energy Science & Engineering. Jun2026, Vol. 14 Issue 6, p2736-2751. 16p.
Subject Terms: *Monte Carlo method, *Thermoelectric effects, *Data analysis, *Reduced-order models
Reviews & Products: MatLab (Computer software)
Abstract: This article is based on the storage test of individual batteries. We combined the data analysis with the deductive simulation to predict the health status of the entire battery pack. Besides, we combined the storage process and discharge process of the battery pack based on the single‐cell storage test. Finally, the full life cycle state of health (SOH) of the battery pack was obtained through Monte Carlo simulation. In the discharge performance stage, the three‐dimensional structure of the battery pack during the discharge process was organically integrated and subjected to thermoelectric coupling simulation. The proposed MATLAB thermoelectric coupling simulation based on lumped parameter method not only reduces computational costs but also has high accuracy and feasibility. Thanks to the proposal of lumped parameter thermoelectric coupling simulation scheme, the simulation time has been significantly reduced, providing feasibility for the subsequent large number of Monte Carlo simulations. The method proposed by this research lays the foundation for estimating the full life cycle performance of batteries. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194418742
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Performance Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields.
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  Data: <searchLink fieldCode="AR" term="%22Zeng%2C+Liteng%22">Zeng, Liteng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Weng%2C+Chuanbo%22">Weng, Chuanbo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wencb@sdju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Fei%22">Xu, Fei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meng%2C+Kangpei%22">Meng, Kangpei</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Jun2026, Vol. 14 Issue 6, p2736-2751. 16p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br />*<searchLink fieldCode="DE" term="%22Thermoelectric+effects%22">Thermoelectric effects</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Reduced-order+models%22">Reduced-order models</searchLink>
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  Data: <searchLink fieldCode="PS" term="%22MatLab+%28Computer+software%29%22">MatLab (Computer software)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article is based on the storage test of individual batteries. We combined the data analysis with the deductive simulation to predict the health status of the entire battery pack. Besides, we combined the storage process and discharge process of the battery pack based on the single‐cell storage test. Finally, the full life cycle state of health (SOH) of the battery pack was obtained through Monte Carlo simulation. In the discharge performance stage, the three‐dimensional structure of the battery pack during the discharge process was organically integrated and subjected to thermoelectric coupling simulation. The proposed MATLAB thermoelectric coupling simulation based on lumped parameter method not only reduces computational costs but also has high accuracy and feasibility. Thanks to the proposal of lumped parameter thermoelectric coupling simulation scheme, the simulation time has been significantly reduced, providing feasibility for the subsequent large number of Monte Carlo simulations. The method proposed by this research lays the foundation for estimating the full life cycle performance of batteries. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194418742
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/ese3.70503
    Languages:
      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 2736
    Subjects:
      – SubjectFull: Monte Carlo method
        Type: general
      – SubjectFull: Thermoelectric effects
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Reduced-order models
        Type: general
      – SubjectFull: MatLab (Computer software)
        Type: general
    Titles:
      – TitleFull: Performance Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields.
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            NameFull: Zeng, Liteng
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            NameFull: Weng, Chuanbo
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            NameFull: Xu, Fei
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            NameFull: Meng, Kangpei
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 20500505
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              Value: 14
            – Type: issue
              Value: 6
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            – TitleFull: Energy Science & Engineering
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