车用燃料电池欧姆内阻辨识算法

Ohmic Internal Resistance Identification Algorithm for Fuel Cell

针对车用燃料电池欧姆内阻辨识问题,以质子交换膜燃料电池工作原理为基础,建立电池的等效电路模型。利用电路相关知识建立等效电路的数学关系模型,在此基础上推导出模型的差分方程。介绍目前参数辨识使用比较广泛的递推最小二乘法,并结合实车NEDC工况估计出电池的欧姆内阻。在Simulink仿真平台上验证了该算法的收敛性、有效性以及良好的鲁棒性。与现有方法相比,该方法具有在线实时估计、无需额外激励源以及硬件电路支持、算法较简单等优点。

Aiming at the identification of ohmic internal resistance of fuel cell,the equivalent circuit model of the battery was established based on the principle of Proton Exchange Membrane Fuel Cell(PEMFC).Then the mathematical relation of the equivalent model was established by using the relevant knowledge of circuit,and the difference equation of the mathematical relation was derived based on this.The recursive least square,which is widely used for parameter identification,was introduced,and the ohm internal resistance of the battery was estimated by using vehicle NEDC condition.Finally,the convergence,effectiveness and robustness of the algorithm were verified on the Simulink simulation platform.Compared with the existing methods,this method has the advantages of on-line real-time estimation,no additional excitation source and hardware circuit support.