摘要
以磷酸铁锂电池为研究对象,针对电池在脉冲大倍率放电条件下,模型参数变化较大、荷电状态(SOC)难以准确估计的问题,以电池的二阶RC等效电路模型为基础,通过递推最小二乘算法动态辨识模型的参数,建立电池的时变参数模型。再通过时变参数模型建立电池的状态方程和观测方程,并应用二次方根容积卡尔曼算法实现电池的SOC估计。这种SOC估算方式能够适应模型的参数改变,且具有对初值误差的修正能力。经实验验证,在脉冲大倍率放电工况下,所建的时变参数模型可以准确模拟电池端电压的变化,所采用的SOC估算策略,在初值存在较大误差的条件下,依然能够准确估算出电池的SOC。
When the battery is used under the condition of high rate pulsed discharge, its parameters change largely and it is hard to estimate its state of charge (SOC) accurately. To solve the problems, taking LiFePO 4 battery as the research object, firstly, based on the second-order RC equivalent circuit model, recursive least square algorithm is adopted to identify the parameters dynamically, thus a time-varying parameter model is built. Secondly, the process equation and measurement equation of the battery are established. Finally, the square-root cubature Kalman filter algorithm is used to realize the SOC estimation of the battery. This SOC estimation algorithm can not only adapt to the parameter change of the model, but also correct the initial error. Experiments indicate that, under the condition of high rate pulsed discharge, the time-varying parameter model can simulate the variation of terminal voltage accurately, and the SOC estimation algorithm can ensure high accuracy even if the initial value has a large error.
作者
张振宇
汪光森
聂世雄
邢鹏翔
Zhang Zhenyu;Wang Guangsen;Nie Shixiong;Xing Pengxiang(National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan 430033 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2019年第8期1769-1779,共11页
Transactions of China Electrotechnical Society
基金
国家自然科学基金重点资助项目(51477179)
