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

摘要:

摘要：针对电池等效电路模型参数具有时变性，难以准确辨识的问题，建立了二阶RC航空电池模型，提出了基于遗忘因子扩展递推最小二乘法(FFRELS)的参数辨识算法；同时针对电池开路电压测量时间长的问题，创建了蓄电池开路电压辨识递推模型，实现开路电压的动态估计，该方法能够准确辨识出模型的参数，有效提高蓄电池开路电压的辨识精度。最后通过仿真实验，验证了该方法能够提高电池模型参数的辨识精度。

Abstract:

Abstract: In order to solve the problem that the parameters of the battery equivalent circuit model are changeable and difficult to be accurately identified, a second-order RC aero-battery model is established, and a parameter identification algorithm based on the forgetting factor recursive extended least square ( FFRELS) is proposed. In view of the problem that FFRELS can not accurately identify the open circuit voltage of the battery, a recursive model of open circuit voltage is established to realize the dynamic estimation of open circuit voltage. This method can accurately identify the battery model parameters and improve the identification precision of the open circuit voltage of the battery. Finally, the simulation results show that this method can improve the identification precision of the battery model parameters.