基于电压递推与FFRELS的航空蓄电池模型参数动态辨识

Dynamic Identification of Battery Model Parameters Based on Voltage Recursion and FFRELS

航空蓄电池作为飞机的主要装备之一,对安全飞行有非常重要的意义;为了在试飞过程中方便、准确、及时地掌握电池的特性,提高试飞安全,分析了航空蓄电池的二阶RC模型特性,研究了一种二阶RC蓄电池模型参数动态辨识方法;针对蓄电池电池开路电压测量时,静置时间过长,无法实时测量的问题,创建了蓄电池开路电压辨识递推模型,实现了开路电压的实时估计;同时采用基于遗忘因子扩展递推最小二乘法(FFRELS)算法对蓄电池模型的部分参数进行辨识;该方法将FFRELS与开路电压递推估计算法相结合能够准确辨识出二阶RC蓄电池模型的全部参数,同时可有效提高蓄电池开路电压的辨识精度;最后通过实验,验证了该方法能够准确辨识出蓄电池模型参数,可为飞机试飞安全监控提供有力保障。

As one of the important equipments of aircraft,aviation battery plays a very important role in flight test and combat.In order to grasp the characteristics of the battery conveniently and accurately,and to improve the flight test safety during the flight test,this paper analyzes the characteristics of the second-order RC model of the aviation battery and studies a dynamic identification method of the second-order RC battery model parameters.Aiming at the problem that the battery battery open circuit voltage measurement is too long to be measured in real time,a recursive model of battery open circuit voltage identification is established,real-time estimation of open circuit voltage is realized.At the same time,the parameter identification algorithm based on the forgetting factor extended recursive least squares(FFRELS)algorithm is used to identify some parameters of the second-order RC battery model.This method combines FFRELS with open circuit voltage recursive estimation algorithm to accurately identify all parameters of the second-order RC battery model,and effectively improve the identification accuracy of the battery open circuit voltage.Finally,the experiment proves that the method can accurately identify the battery model parameters and provide a strong guarantee for aircraft flight test safety monitoring.