Correlation analysis and feature extraction using impedance spectroscopy over aging of lithium ion batteries

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Sebastian Pohlmann , Ali Mashayekh , Johannes Buberger , Julian Estaller , Andreas Wiedenmann , Manuel Kuder , Antje Neve , Thomas Weyh
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引用次数: 0

Abstract

To optimize the operation of batteries and to accelerate the transition to a renewable energy supply and sustainable transportation, it is crucial to determine the condition of Lithium-Ion Batteries at all time. A non-invasive tool for determining the State-of-Health of a battery cell is the electrochemical impedance spectroscopy, in which the impedance is calculated as a function of the excitation frequency. This paper presents a detailed correlation analysis between impedance and State-of-Health and, therefore, the dependency between capacity and impedance over the life cycle of a battery. After extensive testing series with 48 cells resulting in 25,344 impedance spectra, the highest correlations between the impedance and the State-of-Health could be obtained at a State-of-Charge of 10%. Further, features are extracted from the impedance based on their correlation to estimate the State-of-Health. To validate the results of the correlation analysis, a support vector regression and a multi-layer perceptron are trained and tested resulting in a mean absolute error of 0.86% and 0.84%. The estimation results confirm the correlation analysis and further substantiate the need for an appropriate feature extraction method.
利用阻抗光谱对锂离子电池老化过程进行相关性分析和特征提取
为了优化电池的运行,加快向可再生能源供应和可持续交通的过渡,随时确定锂离子电池的状态至关重要。电化学阻抗光谱是确定电池健康状况的一种非侵入式工具,其中阻抗是作为激励频率的函数进行计算的。本文详细分析了阻抗与电池健康状况之间的相关性,以及电池在整个生命周期中容量与阻抗之间的关系。在对 48 个电池进行广泛的系列测试,得出 25,344 个阻抗谱后,在 10%的电荷状态下,阻抗与健康状态之间的相关性最高。此外,还根据阻抗的相关性从阻抗中提取特征,以估计健康状况。为了验证相关性分析的结果,对支持向量回归和多层感知器进行了训练和测试,结果发现平均绝对误差分别为 0.86% 和 0.84%。估计结果证实了相关性分析,并进一步证明了采用适当特征提取方法的必要性。
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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