| 基于自适应无迹卡尔曼滤波的动力电池SOC估计 |
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| 引用本文： | 张武,孙士山,张家福. 基于自适应无迹卡尔曼滤波的动力电池SOC估计[J]. 电源技术, 2021, 45(1): 14-17. DOI: 10.3969/j.issn.1002-087X.2021.01.004 |
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| 作者姓名： | 张武 孙士山 张家福 |
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| 作者单位： | 西安科技大学机械工程学院,陕西西安710054;西安科技大学机械工程学院,陕西西安710054;西安科技大学机械工程学院,陕西西安710054 |
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| 摘 要： | 针对传统无迹卡尔曼滤波(unscented Kalman filter,UKF)算法估计电池SOC时,在未知的干扰噪声条件下滤波精度较低和稳定性较差等问题,基于等效的二阶RC电路模型,提出自适应无迹卡尔曼滤波(adaptive unscented Kalman filter,AUKF)算法.在模型参数辨识的基础上,构建...
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| 关 键 词： | 二阶RC等效电路模型 无迹卡尔曼滤波 电池SOC 自适应算法 |
SOC estimation of power batteries based on adaptive unscented Kalman filter |
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| ZHANG Wu,SUN Shi-shan,ZHANG Jia-fu. SOC estimation of power batteries based on adaptive unscented Kalman filter[J]. Chinese Journal of Power Sources, 2021, 45(1): 14-17. DOI: 10.3969/j.issn.1002-087X.2021.01.004 |
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| Authors: | ZHANG Wu SUN Shi-shan ZHANG Jia-fu |
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| Affiliation: | (School of Mechanical Engineering,Xi'an University of Science and Technology,Xi'an Shaanxi 710054,China) |
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| Abstract: | In order to solve the problem of low filtering accuracy and poor stability when the traditional unscented Kalman filter algorithm estimates SOC of battery in the unknown interference noise environment,the adaptive unscented Kalman filter algorithm was proposed based on the second-order RC equivalent circuit model.On the basis of model parameter identification,the state equation and measurement equation of the system were constructed.The unscented Kalman filter algorithm and its adaptive adjustment strategy were studied.According to the simulation results,the maximum error of SOC is less than 2.13%,and the algorithm is better than the traditional unscented Kalman filter in estimation accuracy and convergence speed. |
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| Keywords: | second-order RC equivalent circuit model unscented Kalman filter battery state of charge adaptive algorithm |
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