锂离子电池系统开路电压预测机制的设计与实现

T. Stockley, K. Thanapalan, M. Bowkett, J. Williams
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引用次数: 3

摘要

介绍了一种锂电池开路电压(OCV)预测技术。研究了电荷和混合状态弛豫电压曲线,分析了OCV预测技术在实际系统中的应用潜力。本文所描述的技术的基本原理采用一个简单的方程与一个多项式配对来预测一小段休息时间后的平衡电池电压。利用曲线拟合和系统辨识技术设计多项式系数。本文中详细介绍的实际工作是在南威尔士大学汽车和动力系统工程中心(CAPSE)电池实验室进行的。结果表明,所提出的OCV预测技术是非常有效的,可以在一个简单的电池管理系统中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of an open circuit voltage prediction mechanism for lithium-ion battery systems
This paper describes an open circuit voltage (OCV) prediction technique for lithium cells. The work contains an investigation to examine the charge and mixed state relaxation voltage curves, to analyse the potential for the OCV prediction technique in a practical system. The underlying principal of the technique described in this paper employs a simple equation paired with a polynomial to predict the equilibrated cell voltage after a small rest period. The polynomial coefficients are devised by the use of curve fitting and system identification techniques. The practical work detailed in this paper was conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories at the University of South Wales. The results indicate that the proposed OCV prediction technique is highly effective and may be implemented with a simple battery management system.
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