Application of the Extrapolation Method in Battery Diagnostics for Electric Vehicles

A. Smoliński, Cáceres Cabana Edgar, R. Borovik, Oleksandr Beshta Jr, G. Pivnyak, O. Beshta
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引用次数: 1

Abstract

In a lithium-ion battery, the crossing of its charging–discharging curves represents an unambiguous current capacity. The reproduction of a complete charging–discharging cycle defines the maximum possible charge for a current battery state. When obtaining of the curves experimentally, one should consider the duration of polarization or depolarization. It is reported that the battery capacity depends considerably on the value of the battery’s internal resistance as this value defines the location of the actual charging–discharging curves relative to the nominal curves, i.e., the point of their crossing shifts. The present study aimed to develop a diagnostic algorithm for the batteries of electric vehicles for a complete charge–discharge cycle, considering the processes of polarization and depolarization. The mathematical expressions for determining the internal resistance and the complete charge of the battery were obtained. The novelty of the present study is in the fact that by applying extrapolation to a simple electrical model of a lithium-ion battery, the degree of degradation and the current charge could be predicted without the requirement of lengthy experimental procedures.
外推法在电动汽车电池诊断中的应用
在锂离子电池中,充放电曲线的交叉代表了一个明确的电流容量。一个完整的充放电循环的再现定义了当前电池状态下的最大可能电量。在实验中得到曲线时,应考虑极化或去极化的持续时间。据报道,电池容量在很大程度上取决于电池的内阻值,因为该值定义了实际充放电曲线相对于标称曲线的位置,即它们的交叉位移点。本研究旨在开发一种考虑极化和去极化过程的电动汽车电池完整充放电周期诊断算法。得到了确定电池内阻和完全充电量的数学表达式。本研究的新颖之处在于,通过将外推法应用于锂离子电池的简单电模型,可以预测电池的退化程度和电流充电,而不需要冗长的实验程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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