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.

Highlights

  • Introduction for Maximum Peak CurrentLithium-ion batteries mounted in electric vehicles (EVs) operate under conditions more severe than those of other industrial applications

  • The battery management system (BMS) must estimate the maximum peak current of the battery pack in real time, and control a terminal current lower than the estimated value to manage the terminal voltage within the allowable range

  • This study proposes an online cell screening algorithm that outperforms conventional algorithms in the following aspects: first, the cell parameters that affect the maximum peak current were mathematically and experimentally analyzed based on the equivalent circuit model; second, the proposed algorithm ensures the inclusion of the weakest cell in the screening results by simultaneously considering the inconsistency in the current capacity, internal resistance, and terminal voltage; third, an actual EV battery pack, with 110 cells in series, was used to verify the feasibility of the proposed algorithms, and the computational time was evaluated to validate the complexity reduction effect compared to that of the direct method for estimating the maximum peak current of all of the cells

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Summary

Introduction for Maximum Peak Current

Lithium-ion batteries mounted in electric vehicles (EVs) operate under conditions more severe than those of other industrial applications. If the maximum peak current is determined without considering these cell inconsistencies, the terminal voltage of any cell can exceed its allowable voltage range To circumvent this problem, a direct method to estimate the cell parameter and the maximum peak current of each cell in real time was proposed [20].

Analysis of Inconsistencies of Cell Parameters
Methodology of Proposed Online Cell Screening Algorithm
Second Screening and Determination of the Maximum Peak Current
Tested Battery Pack and Experiment Setup
Comparison of Screening Results with an Existing Method
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