SOC estimation for Li-Ion batteries based on equivalent circuit diagrams and the application of a Kalman filter

A. Rahmoun, H. Biechl, A. Rosin
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引用次数: 20

Abstract

Batteries play an essential role in electric vehicles (EV), and obtain more and more importance also in smart grids due to the non-constant power generation of renewable energy sources. In order to achieve an optimum operation of systems with batteries it is necessary to develop accurate mathematical models for the calculation of the state of charge (SOC), taking into account the individual operation by the user. This paper presents the fundamentals of a method how to determine SOC of lithiumion batteries on the basis of two different equivalent circuit diagrams and an Extended Kalman Filter (EKF). The comparison between measurement and computation results shows a good accordance. The accurate determination of SOC of a battery in an EV is of high importance for the prediction of the distance that can be driven. In the first step the dependency of these parameters on the temperature and on the battery age is neglected.
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基于等效电路图和卡尔曼滤波的锂离子电池荷电状态估计
电池在电动汽车中起着至关重要的作用,由于可再生能源发电的不稳定,电池在智能电网中也越来越受到重视。为了实现电池系统的最佳运行,有必要开发精确的数学模型来计算充电状态(SOC),同时考虑到用户的个人操作。本文介绍了一种基于两种不同等效电路图和扩展卡尔曼滤波(EKF)的锂离子电池荷电状态测定方法的基本原理。实测结果与计算结果比较表明,两者吻合较好。准确测定电动汽车电池荷电状态对于预测电动汽车可行驶距离具有重要意义。在第一步中,忽略了这些参数对温度和电池寿命的依赖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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