基于连续时间模型的电池参数估计

2007 International Symposium on Signals, Circuits and Systems Pub Date : 2007-07-13 DOI:10.1109/ISSCS.2007.4292800

G. Livint, M. Răţoi, V. Horga, M. Albu

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引用次数: 8

摘要

通过基于电池模型的最优卡尔曼滤波，可以实现对电池充电状态的在线估计。本文提出了一种获取电池物理参数的方法。该方法基于连续时间模型的系数估计。

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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Estimation of Battery Parameters Based on Continuous-Time Model

On line estimation of the battery state of charge may be realized through on optimal Kalman Filter, based on the battery model. In this paper is presented a method to obtain physical battery parameters. The proposal method is based on coefficients estimation of the continuous-time model.

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来源期刊

2007 International Symposium on Signals, Circuits and Systems

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