电池模型开路电压特性参数辨识

Q3 Engineering

AUS Pub Date : 2023-03-29 DOI:10.1109/ESARS-ITEC57127.2023.10114895

Elisa Mostacciuolo, L. Iannelli, Domenico Natella, Silvio Baccari, F. Vasca

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引用次数: 0

摘要

提出了一种同时在线估计电池荷电状态和开路电压依赖于荷电状态的多项式近似参数的方法。该策略基于电池等效电路模型，由Luenberger SOC观测器与递归最小二乘算法交织组成，用于参数估计。讨论了不同结构的开路电压特性的共估计问题的适定性。该技术在来自汽车应用的真实数据上得到了验证。

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Parameters identification for open circuit voltage characteristic in battery models

A technique for the simultaneous online estimation of the battery state of charge (SOC) and the parameters of a polynomial approximation of the open circuit voltage dependence on SOC is proposed. The strategy is based on an equivalent circuit model of the battery and it consists of a Luenberger SOC observer interlaced with a recursive least-square algorithm for the parameters estimation. The well-posedness of the co-estimation problem for different structures of the open circuit voltage characteristic is discussed. The technique is validated on real data coming from an automotive application.

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来源期刊

AUS Engineering-Architecture

CiteScore

0.40

自引率

0.00%

发文量

期刊介绍： Revista AUS es una publicación académica de corriente principal perteneciente a la comunidad de investigadores de la arquitectura y el urbanismo sostenibles, en el ámbito de las culturas locales y globales. La revista es semestral, cuenta con comité editorial y sus artículos son revisados por pares en el sistema de doble ciego. Periodicidad semestral.