锂离子电池中的 SoC 估算(噪声测量和无激励

IF 4.6 4区 化学 Q2 ELECTROCHEMISTRY
Batteries Pub Date : 2023-11-28 DOI:10.3390/batteries9120578
Miquel Martí-Florences, Andreu Cecilia Piñol, A. Clemente, Ramon Costa-Castelló
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引用次数: 0

摘要

准确的充电状态估计对于使用锂离子电池的应用至关重要。在实时场景中,电池模型往往具有很大的不确定性,因此需要对充电状态和相关未知模型参数进行联合估算。然而,参数估计通常需要电池输入信号具有持续激励特性,而这一需求在实际操作中往往无法满足。本文件介绍了一种放宽这一严格要求的充电状态/参数联合估算器。该估计器基于广义参数估计观测器框架。据作者所知,这是首次将其应用于锂离子电池。通过模拟演示了它的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation
Accurate State-of-Charge estimation is crucial for applications that utilise lithium-ion batteries. In real-time scenarios, battery models tend to present significant uncertainty, making it desirable to jointly estimate both the State of Charge and relevant unknown model parameters. However, parameter estimation typically necessitates that the battery input signals induce a persistence of excitation property, a need which is often not met in practical operations. This document introduces a joint state of charge/parameter estimator that relaxes this stringent requirement. This estimator is based on the Generalized Parameter Estimation-Based Observer framework. To the best of the authors’ knowledge, this is the first time it has been applied in the context of lithium-ion batteries. Its advantages are demonstrated through simulations.
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来源期刊
Batteries
Batteries Energy-Energy Engineering and Power Technology
CiteScore
4.00
自引率
15.00%
发文量
217
审稿时长
7 weeks
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