电源技术2018，Vol.42Issue(1)：114-118,5.
平方根无迹卡尔曼滤波作球面变换的SOC估计
State-of-charge estimation based on square root unscented Kalman filter with spherical transformation
何俊儒 1王洪诚 2杨欣荣 1王蕾1
作者信息
- 1. 西南石油大学机电工程学院,四川成都610500
- 2. 西南石油大学电气信息学院,四川成都610500
- 折叠
摘要
Abstract
For the complex calculation and derivation and low linearization accuracy of exiting battery state-of-charge (SOC) estimation,a new SOC estimation of lithium-ion battery based on square root unscented Kalman filter with spherical transformation in unit hyper sphere was proposed.The method dose not require linearization for nonlinear model,and compared with traditional unscented Kalman filter,the Sigma points obtained by spherical transformation is less,which reduces computational requirements.The two order equivalent circuit model of the battery was fixed.The detail procedures and algorithms of the proposed estimation method were given.The method was verified by experiments.The performance of the proposed method in SOC estimation accuracy and robustness was analyzed.The experiments show that the accurate SOC estimation of battery can be successfully accomplished by the proposed method,and the maximum estimation error is only 4.98％.The estimation accuracy affected by parameters variation is small with a certain robustness.关键词
锂电池/二阶等效电路模型/SOC/平方根无迹卡尔曼滤波/球面变换Key words
lithium-ion battery/second-order equivalent circuit model/state of charge/square root unscented Kalman filter/spherical transform分类
信息技术与安全科学引用本文复制引用
何俊儒,王洪诚,杨欣荣,王蕾..平方根无迹卡尔曼滤波作球面变换的SOC估计[J].电源技术,2018,42(1):114-118,5.
