Soc Estimation of Li-ion Battery Based on Adaptive CKF Algorithm

IF 0.6 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Chiang Mai Journal of Science Pub Date : 2023-11-30 DOI:10.12982/cmjs.2023.063

Zhengjun Huang, Yu Chen, Meifang Zhou

引用次数: 0

Abstract

A second-or der RC equivalent circuit model was established to improve the estimation accuracy of state of charge (SOC) of power Li-ion batteries, and the model parameters were identified by the recursive least square method with forgetting factor (FFRLS). On this basis, an adaptive cubature kalman filter (ACKF) algorithm was proposed to adaptively modify the process noise covariance matrix and the measurement noise covariance matrix to improve the SOC estimation accuracy. Finally, the SOC estimation algorithm was verified by MATLAB simulations. The results show that compared with UKF and CKF algorithms, the proposed algorithm has higher estimation accuracy and robustness, and can meet the application requirements.

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基于自适应 CKF 算法的锂离子电池 Soc 估计

为提高动力锂离子电池的电荷状态（SOC）估计精度，建立了二次或三次RC等效电路模型，并通过带遗忘因子（FFRLS）的递归最小二乘法确定了模型参数。在此基础上，提出了自适应立方卡尔曼滤波（ACKF）算法，以自适应地修改过程噪声协方差矩阵和测量噪声协方差矩阵，从而提高 SOC 估计精度。最后，通过 MATLAB 仿真验证了 SOC 估算算法。结果表明，与 UKF 和 CKF 算法相比，所提出的算法具有更高的估计精度和鲁棒性，能够满足应用要求。

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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来源期刊

Chiang Mai Journal of Science MULTIDISCIPLINARY SCIENCES-

CiteScore

1.00

自引率

25.00%

发文量

103

审稿时长

3 months

期刊介绍： The Chiang Mai Journal of Science is an international English language peer-reviewed journal which is published in open access electronic format 6 times a year in January, March, May, July, September and November by the Faculty of Science, Chiang Mai University. Manuscripts in most areas of science are welcomed except in areas such as agriculture, engineering and medical science which are outside the scope of the Journal. Currently, we focus on manuscripts in biology, chemistry, physics, materials science and environmental science. Papers in mathematics statistics and computer science are also included but should be of an applied nature rather than purely theoretical. Manuscripts describing experiments on humans or animals are required to provide proof that all experiments have been carried out according to the ethical regulations of the respective institutional and/or governmental authorities and this should be clearly stated in the manuscript itself. The Editor reserves the right to reject manuscripts that fail to do so.