一种基于总开路电压估算锂离子电池组充电状态的新方法

Hao Lei, Xiaokai Chen, R. Xiong
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引用次数: 0

摘要

开路电压(OCV)与荷电状态(SOC)之间的关系对荷电状态估计的准确性有相当大的影响。本研究针对电池组中OCV曲线的不确定性和不一致性,提出了一种基于通用OCV的电池荷电状态估计方法。通用OCV统一了电池组中所有电池的OCV曲线,可用于求解基于ekf的荷电状态估计中的OCV导数,但同时也带来了模型偏差。因此,通过与其他模型参数在线辨识得到的模型偏差对电池模型进行校正。实例研究结果表明,SOC估算结果准确稳定,在0°C、25°C和45°C条件下最大绝对误差小于6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Method for Estimating State-of-Charge of Lithium-ion Battery Pack Based on General Open Circuit Voltage
The relationship between open-circuit-voltage (OCV) and the state of charge (SOC) has shown a considerable influence on the accuracy of SOC estimation. In this study, in order to deal with the uncertainty and inconsistency of the OCV curve in the battery pack, a novel method for SOC estimation based on the general OCV is proposed. The general OCV unifies the OCV curves of all the cells in the battery pack and can be used to solve the OCV derivative in EKF-based SOC estimation, but it brings model deviation meanwhile. Therefore, the battery model is corrected by the model bias, which is obtained by online identification with other model parameters. The case study results show that the results of SOC estimation is accurate and stable, with the maximum absolute error less than 6% at 0°C, 4% at 25°C and 45°C.
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