镍氢动力电池SOC的改进卡尔曼滤波法估算
SOC Estimation of Ni-MH Battery Based on Improved Kalman Filter
本文在分析其他镍氢电池模型的基础上，建立了二阶RC模型，不仅能很好的描述镍氢电池的动态特征而且易于工程实现。Kalman滤波算法要求噪声Q、R统计特性精确了解，因此利用电流积分法计算出Q、R噪声值，然后结合Kalman滤波算法以及SOC-OCV关系曲线对镍氢电池的SOC做出预测。
his paper created a RC model, based on the analysis of recent Ni-MH battery models, which was not only a good description of the dynamic characteristics of Ni-MH batteries but also easy for project application. Kalman filter method essentially requires that the system noise matrixes Q and R are known. Therefore, Q, R noise values were obtained using the current integration method and then SOC estimation was predicted combined with Kalman filter and SOC-OCV curve.
闫文志、吴友宇
能源动力工业经济自动化技术、自动化技术设备
SOC卡尔曼滤波RC模型SOC-OCV
SOCKalman filterRC modelSOC-OCV
闫文志,吴友宇.镍氢动力电池SOC的改进卡尔曼滤波法估算[EB/OL].(2010-04-19)[2025-04-30].http://www.paper.edu.cn/releasepaper/content/201004-674.点此复制
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