LAPSE:2023.15360
Published Article

LAPSE:2023.15360
Online Cell Screening Algorithm for Maximum Peak Current Estimation of a Lithium-Ion Battery Pack for Electric Vehicles
March 2, 2023
Abstract
In this study, an online cell screening algorithm is proposed to estimate the maximum peak current considering the cell inconsistencies in battery packs for electric vehicles. Based on the equivalent circuit model, the maximum peak current is mathematically defined, and the inconsistency parameters affecting the maximum peak current are analyzed. The proposed algorithm compares the inconsistency parameters of each cell and subsequently selects a cell or a group of cells whose voltage can exceed the allowable voltage range. The maximum peak current is determined based on the selected cells, while ensuring that all the cells are charged and discharged within the allowable voltage range. The feasibility and superiority of the proposed algorithm are verified through an experiment conducted on a commercially manufactured battery pack for electric vehicles.
In this study, an online cell screening algorithm is proposed to estimate the maximum peak current considering the cell inconsistencies in battery packs for electric vehicles. Based on the equivalent circuit model, the maximum peak current is mathematically defined, and the inconsistency parameters affecting the maximum peak current are analyzed. The proposed algorithm compares the inconsistency parameters of each cell and subsequently selects a cell or a group of cells whose voltage can exceed the allowable voltage range. The maximum peak current is determined based on the selected cells, while ensuring that all the cells are charged and discharged within the allowable voltage range. The feasibility and superiority of the proposed algorithm are verified through an experiment conducted on a commercially manufactured battery pack for electric vehicles.
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Keywords
battery management system, cell inconsistency, maximum peak current estimation
Subject
Suggested Citation
Noh TW, Ahn J, Lee BK. Online Cell Screening Algorithm for Maximum Peak Current Estimation of a Lithium-Ion Battery Pack for Electric Vehicles. (2023). LAPSE:2023.15360
Author Affiliations
Noh TW: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Ahn J: Energy Convergence Research Center, Korea Electronics Technology Institute (KETI), Gwangju 61011, Korea
Lee BK: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Ahn J: Energy Convergence Research Center, Korea Electronics Technology Institute (KETI), Gwangju 61011, Korea
Lee BK: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Journal Name
Energies
Volume
15
Issue
4
First Page
1423
Year
2022
Publication Date
2022-02-15
ISSN
1996-1073
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Original Submission
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PII: en15041423, Publication Type: Journal Article
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LAPSE:2023.15360
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https://doi.org/10.3390/en15041423
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Mar 2, 2023
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